Client Overview

RoomRite is a B2B resale marketplace designed to help event planners, travel advisors, and hotels manage group hotel room blocks more efficiently. By allowing the buying and selling of excess contracted hotel rooms, RoomRite addresses the industry's $21 billion annual hotel room attrition penalties.

The Challenge: Mitigating Hotel Room Attrition

Event planners and hotels often face challenges in filling contracted room blocks, leading to substantial attrition penalties. Traditional methods of managing these room blocks can be time-consuming and inefficient, resulting in lost revenue and strained relationships between planners and hotels.

The Solution: RoomRite's Resale Marketplace

RoomRite offers a platform where event professionals can list their excess hotel rooms, and other qualified groups can purchase them at the contracted rate. Key features include:

• Real-Time Inventory Access: Buyers can view available rooms without the need for lengthy RFP processes.
  
  
• Cost Savings: Sellers can avoid attrition penalties, and buyers benefit from discounted rates.
  
  
• Secure Transactions: The platform ensures secure and transparent transactions between parties.
  
  
• Hotel Partnerships: Hotels can gain new business and avoid the financial strain of unsold room blocks.
  

Implementation: Seamless Integration and User Experience

RoomRite's platform is built using PHP Laravel and MySQL, hosted on AWS, ensuring scalability and reliability. The user interface is designed to be intuitive, resembling popular online travel agency sites, making it easy for users to navigate and complete transactions. The seamless integration and user-centric design have made RoomRite a trusted tool in the event and hospitality sectors. For more details, you can check out how RoomRite has innovated the booking process here.

Results: Positive Impact on the Industry

Since its inception, RoomRite has:

• Reduced Attrition Penalties: Event planners have significantly decreased their exposure to costly attrition fees.
  
  
• Increased Hotel Bookings: Hotels have seen an uptick in bookings through the resale of excess room blocks.
  
  
• Enhanced Industry Relationships: The platform has fostered stronger partnerships between event planners and hotels, promoting collaboration and mutual benefit.
  
  

RoomRite has been recognized for its ability to streamline the booking process and save valuable time and money for both event planners and hotels. As highlighted in their latest update, the platform’s predictive capabilities have had a profound effect on reducing operational costs.

Conclusion: A Game-Changer in Hotel Room Block Management

RoomRite has revolutionized the way the hospitality industry manages group hotel room blocks. By providing a platform for the resale of excess rooms, it offers a win-win solution for both event planners and hotels, mitigating financial risks and enhancing operational efficiency.

Key Takeaways

• Innovative Solution: RoomRite addresses a longstanding issue in the hospitality industry with a modern, digital approach.
  
  
• Mutual Benefits: The platform creates value for both sellers and buyers, promoting collaboration.
  
  

Scalable Technology: Built on robust technology, RoomRite is poised for growth and wider adoption in the industry.

Client Overview

The KLS Project is a comprehensive mobile application designed to enhance the fan experience for the Serbian Basketball League (KLS). Targeted at basketball enthusiasts, players, and teams, the app offers real-time updates, detailed statistics, and interactive features to keep users engaged with the league's activities.

The Challenge: Enhancing Fan Engagement in a Traditional Sport

Despite the rich history and passionate following of Serbian basketball, fan engagement was limited to traditional media and in-person attendance. There was a need for a digital platform that could provide:

• Real-Time Updates: Instant access to scores, schedules, and news.
  
  
• Comprehensive Statistics: Detailed player and team statistics.
  
  
• Interactive Features: Engaging content such as videos, news, and live match tracking.
  
  

The existing digital presence was fragmented, lacking a unified platform to serve the diverse needs of the basketball community.

The Solution: A Unified Mobile Application

Quantox Technology developed a native mobile application for both Android and iOS platforms, incorporating the following key features:

• User Authentication: Secure login and registration with password recovery options.
  
  
• Personalized Profiles: User profiles with the ability to edit personal information and change passwords.
  
  
• Comprehensive Information Hub: Sections for teams, players, standings, news, organization details, league partners, and statistics.
  
  
• Live Match Tracking: Real-time match results and live score updates.
  
  
• Interactive Calendar: A calendar displaying upcoming matches and events.
  
  
• Video Gallery: Access to match highlights and other video content.
  
  

The app was designed with a user-friendly interface, ensuring easy navigation and accessibility for all users.

Implementation: Seamless Mobile and Web Experience

The KLS platform was built using a robust, modern tech stack:

• SwiftUI (iOS) and Kotlin (Android) for the official mobile apps, ensuring smooth, native performance.
  
  
• Node.js powers the backend, handling real-time game updates and secure data management.
  
  
• React is used for the league's web dashboard, providing a responsive and intuitive experience for administrators.
  
  

This combination ensures that both fans and officials benefit from fast, reliable, and scalable technology as the league grows.

Results: Increased Engagement and User Satisfaction

Since its launch, the KLS app has achieved:

• High User Retention: Consistent daily active users engaging with the app's features.
  
  
• Positive Feedback: Users praising the app's design, usability, and comprehensive content.
  
  
• Expanded Reach: Increased visibility of the Serbian Basketball League, attracting a broader audience.
  
  

The app has become an essential tool for fans and participants, fostering a stronger connection with the sport.

Conclusion: A Digital Transformation for Serbian Basketball

The KLS Project has successfully bridged the gap between traditional basketball culture and modern digital engagement. By providing a centralized platform for information and interaction, the app has enhanced the fan experience and contributed to the growth of the sport in Serbia.

Key Takeaways

• Unified Platform: Consolidating various aspects of the league into a single app.
  
  
• User-Centric Design: Focusing on the needs and preferences of the target audience.
  
  
• Agile Development: Adapting to feedback and evolving requirements throughout the project.
  
  
• Continuous Improvement: Regular updates and enhancements based on user input.
  
  

The KLS Project exemplifies how technology can revitalize traditional sports and create lasting connections with fans.

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When a colleague is promoted, it’s not just a personal milestone—it’s a moment of shared pride and a testament to the value of growth, persistence, and teamwork. This month, we are proud to congratulate Nebojša on his promotion to Computer Operators Manager at Quantox!

To celebrate this achievement, we spoke with Nebojša about his journey, challenges, goals, and personal reflections.

Congratulations! How did you feel when you found out about the promotion?

Thank you!
It was a great feeling, honestly. I’ve had a strong desire to move into this role for quite some time, and receiving this recognition from the company meant a lot to me. It felt like a natural next step in my career.

How would you describe your new role and responsibilities?

The role is both exciting and dynamic. My primary responsibilities now include overseeing several teams and task streams, ensuring smooth communication between our internal teams and clients. I act as a bridge—making sure that expectations are aligned and that both sides are supported in delivering the best possible outcomes.

What would you say is the biggest challenge and the most exciting aspect of this position?

The biggest challenge is living up to the role through consistent performance, leadership, and trust. I want to prove that the decision to promote me was the right one.
As for the exciting part—it’s having access to new dimensions of team organization, project planning, and strategy that I didn’t engage with before. It’s a whole new level of involvement and impact.

Let’s talk about your journey. How did your career at Quantox begin?

It all started 13 years ago. Back then, Quantox was a small group—just couple of us working in a small office. I had no prior experience in corporate work. It was my first real job. As the company evolved and grew, so did I. Each new project, client, and challenge shaped me, and I grew alongside the organization.

How did your past experience prepare you for this leadership role?

I’ve spent a long time in the industry and an even longer time in the company. That experience has allowed me to develop a deep understanding of the business, especially in the adult content domain. I’ve learned how to prioritize what matters, manage multiple projects simultaneously, and stay focused on results. These are key traits that I believe helped pave the way for this role.

What role do Computer Operators play in the broader company ecosystem?

A very important one. After the developers and designers finish building a client’s platform, our team ensures long-term functionality and quality through maintenance, support, and ongoing operations. We close the loop on the product life cycle—ensuring continuity and client satisfaction.

What’s your vision for developing the team going forward?

Our team is already well-trained in traditional tools and methods. My goal moving forward is to incorporate AI tools into daily operations and ensure every team member becomes proficient. AI greatly improves speed, quality, and efficiency—and I want us to stay ahead of the curve.

How do you motivate your team and foster a good working atmosphere?

I believe the best motivation is clarity and balance. Everyone knows their daily goals and the expectations are realistic and tailored to their skill sets. There’s no excessive pressure, just a supportive environment where everyone has space to perform and improve. I have a few ideas in mind to strengthen team spirit even more—we’ll discuss them soon.

Outside of work—how do you recharge? Any hobbies?

Absolutely. My son, Vasilije, is currently my main source of both energy and exhaustion—depending on the time of day. 😊
Aside from that, I’ve been into sports my entire life. Mornings at the gym, pickup basketball games, and recently—cycling. Long rides in nature have become my new favorite way to clear my mind.

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And finally, what would you tell your younger self—and those just starting out?

To my younger self:

“Forget the nightlife :) —start learning programming!”

To those at the beginning of their journey:

“Start learning programming—and add AI on top of it.”

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Nebojša’s journey is a reflection of what’s possible when loyalty, adaptability, and leadership come together. We congratulate him once again and look forward to the impact he’ll make in this new role!

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We’re proud to announce that Quantox Technology GmbH has joined forces with 13 other European partners in the EU-funded STREP project, an ambitious initiative set to reshape the future of Europe’s textile industry.

Officially launched at the kick-off meeting held on April 29–30, 2025, at Aalborg University in Denmark, the STREP project (Smart Technologies for the REcovery and Processing of textile waste) brings together a powerful consortium of research institutions, innovative tech companies, and sustainability-focused organizations across Europe.

About the STREP Project

STREP is a 36-month project coordinated by Aalborg University and funded by the European Union. Its mission: to make Europe’s textile sector smart, circular, and sustainable.

The vision of STREP is to create a fully closed-loop system in which 100% of yarn is produced from post-consumer textile waste. The project leverages cutting-edge AI-driven sorting, automation, and next-gen recycling technologies to make circularity not only possible, but scalable and efficient across the continent.

With 14 expert organizations from across the EU on board, STREP is set to build a smarter, greener future for the textile industry.

Quantox’s Role in the STREP Project

As part of the Quantox Technology Group (founded in 2006, with HQ in Serbia), Quantox GmbH represents the company’s presence in the DACH region, supporting EU-wide digital innovation.

Backed by a €20M investment from Sandberg Capital in 2022, Quantox has over 300+ tech professionals across 13 offices in 7 countries and brings deep expertise in software development, DevOps, UI/UX design, and IT consulting to the project.

Our contributions to the STREP project span across several key work packages:

🔍  Traceability System for Textile Waste

• Our Role: Major contributor in data modeling, interoperability, and digital product passport development.
  
  

🚀  Evaluation and Demonstration in Pilots

• Our Role: Acting as systems integrator and pilot data collaboraton, ensuring seamless data flow and system functionality in real-world pilot setups.
  
  

🌍  Dissemination, Exploitation and Clustering

• Our Role: Contributing to communication, results exploitation, and ecosystem building to maximize project impact across the industry.
  
  

🧩  Project Coordination and Management

• Our Role: Supporting as a contributor, ensuring alignment with project goals and smooth collaboration across partners.

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Driving Sustainability Through Technology

Our involvement in STREP reinforces our long-standing commitment to sustainability, innovation, and cross-border collaboration. By combining our tech expertise with the goals of the circular economy, we’re helping to create a textile industry that’s not only smarter—but more responsible.

We’re excited to be part of this transformative journey and look forward to sharing more updates as the project evolves.

Let’s build a circular future—together.

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The Unifi University App embarked on a transformative journey, evolving from its initial launch in 2021 to a complete redesign and rebuild in 2023. Spearheaded by Quantox, this project aimed to create a scalable and dynamic group chat feature for Unifi, a social network built specifically for students across Great Britain.

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The Challenge: Overcoming Limitations of the Monolithic Architecture

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The original version of the Unifi app faced significant challenges due to its monolithic architecture, built using Laravel, a PHP framework. As the need for a group chat feature arose, it became clear that the existing monolithic structure couldn’t efficiently support this new functionality. 

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• Scalability Issues: Integrating the group chat into the monolithic architecture created performance bottlenecks.
• Resource Utilization Concerns: The monolithic setup was inefficient in handling long-term executions, especially as the number of users grew.

In response, a strategic decision was made to transition to a microservices architecture—a move that would provide the scalability, flexibility, and performance needed to build a next-generation chat system.

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The Strategic Shift: Embracing Microservices

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From Laravel to Node.js

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In 2022, Quantox took bold steps by initiating a complete redesign and rebuild of the app’s core structure. The team transitioned from PHP (Laravel) to Node.js, leveraging modern technologies to build a system capable of handling increased loads and real-time communication demands.

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• New Tech Stack: Nest.js, MongoDB, socket.io, and RabbitMQ were chosen to enable a robust, horizontally scalable system.
• Scalability at the Core: The switch to Node.js and microservices architecture was pivotal in creating a high-performance, scalable chat solution for Unifi.

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This decision significantly improved the app’s ability to handle millions of students, ensuring future scalability and a smooth user experience.

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Innovative Group Chat Functionality: Tailored for Students

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One of the standout features of the redesigned Unifi app is its intelligent group chat system, which optimizes the student experience by offering personalized interactions:

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• Automated Group Assignment: Students are automatically assigned to relevant group chats based on factors like university, enrollment year, course, and interests.
• Fostering Connections: This approach promotes meaningful connections and knowledge exchange between students, allowing for a richer social networking experience.

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By designing a system that connects students based on shared attributes, the app goes beyond simple social interaction—creating a platform for academic and personal growth.

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Technological Innovations and Challenges

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The development of Unifi’s new chat system was no easy feat. It involved overcoming several technical hurdles and ensuring a seamless transition to a more dynamic platform:

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• Dynamic Group Formation: Matching students by interests and academic background required advanced algorithms to ensure relevance and privacy.
• User Experience: Balancing scalability with a simple, intuitive interface was key to ensuring the app was both powerful and user-friendly.
• Backend Infrastructure: The backend needed to handle dynamic, real-time communication while maintaining high availability and performance.

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Technological Stack

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The updated app leverages a powerful and modern tech stack:

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• Frontend: SwiftUI, Kotlin for native apps on iOS and Android.
• Backend: Node.js, Nest.js, MongoDB, Redis, RabbitMQ, Socket.io, and Firebase Cloud Messaging.
• Infrastructure: Kubernetes, AWS, and S3 to ensure stability, scalability, and fast content delivery.

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This selection of tools and technologies ensured that the system could handle thousands of concurrent users without compromising performance or user experience.

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Addressing Technological Uncertainties: Collaboration and Innovation

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The transition from PHP to Node.js wasn’t without its challenges. The development team, comprising designers, engineers, project managers, and QA specialists, worked tirelessly to:

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• Resolve Scaling Issues: Ensuring the system could scale to meet the needs of different student groups, from small universities to large institutions.
• Optimize User Matching: Creating algorithms to group students based on dynamic factors such as courses and interests, while ensuring privacy in private chats.
• Maintain a User-Centric Design: Keeping the interface intuitive, even as the backend evolved into a complex microservices system.

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From May 2022 to August 2023, the team worked in close collaboration, refining designs, developing native apps, ensuring high-quality standards, and implementing the backend infrastructure. The result? A feature-rich and robust group chat system that sets a new standard for social networking platforms within the educational sector.

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Unify : A Testament to Innovation and Teamwork

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The Unifi University App project exemplifies the power of strategic decision-making, continuous innovation, and effective teamwork. By embracing Node.js and microservices architecture, Unifi was able to create a scalable, efficient chat system that not only meets but exceeds the expectations of students across Great Britain.

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This project is a perfect example of how the right technology choices, coupled with collaboration and perseverance, can lead to breakthrough innovations that empower communities and enhance user experiences.

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Transforming Retail with a Self-Service Digital Solution

At Quantox Technology, we don’t just build software—we solve problems. For the leader of sports retail in the region, Sport Vision, one of our recent projects, "Sneaker Point," showcases how we helped  revolutionize their retail experience by addressing operational inefficiencies and creating a streamlined, self-service ordering process.

The result? A digital solution that saves time for both customers and store staff while delivering an enhanced shopping experience.

The Challenge: A Time-Consuming Ordering Process

Before partnering with Quantox, the client faced significant operational challenges in their stores:

• Overburdened Staff: Store employees spent excessive time checking inventory for customers, verifying available sizes, colors, and models in storage, and retrieving items manually.
• Inefficient Customer Experience: Customers often had to wait while staff members checked stock and brought the requested items to the shop floor.
• Limited Resources: A lack of human resources added further strain on the ordering process, reducing efficiency and customer satisfaction.

Our mission was to solve these pain points by creating a self-service solution that streamlined the entire process, improved user experience, and reduced the workload for store employees.

The Solution: Sneaker Point – A Self-Service Retail System

We developed Sneaker Point, a comprehensive digital product that empowers customers to take control of their shopping journey while enabling store staff to focus on more value-added tasks.

Key Features:

1. Customer Self-Service:
   
   
   • Customers can scan a product to view all available variations (sizes, colors, models).
   • They select the desired option, and the system sends the order directly to the store’s storage.
2. Automated Delivery:
   
   
   • Items are retrieved from storage and delivered to the shop floor via automated escalators.
   • The entire process is visible on screens throughout the store, so customers stay informed.
3. Efficient BackOffice Management:
   
   
   • Store administrators can monitor and manage orders, inventory, and customer interactions using an intuitive backend system.

This solution significantly reduced the time required to fulfill customer requests while delivering a seamless, transparent shopping experience.

Our Approach: A Fully Integrated Solution

At Quantox, we take pride in delivering all-round IT and software development support. For the Sneaker Point project, we provided a complete package, handling everything under one roof:

• Custom Digital Product Development:
  
  
  • Designed and developed a scalable solution tailored to the client’s needs.
  • Built using a robust tech stack, including Node.js for the backend, React.js for the frontend, and native Kotlin for Android apps.
• Third-Party Integration:
  
  
  • Seamlessly integrated with the client’s ERP system for real-time inventory updates.
  • Included payment system compatibility and potential for future extensions.
• Infrastructure and Deployment:
  
  
  • Developed a reliable architecture using Redis for caching and PostgreSQL for database management.
  • Ensured smooth deployment and operational scalability.

Our ability to deliver a cohesive solution—from design to deployment and integration—sets us apart as a partner in digital transformation.

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Results: A Game-Changing Retail Solution

The Order Point system has transformed the way the client operates their stores. Key outcomes include:

• Enhanced Customer Experience:
  • Customers now enjoy a self-service shopping process that is faster, more intuitive, and completely transparent.
• Reduced Staff Workload:
  • Shop assistants spend less time managing inventory and more time focusing on customer engagement.
• Operational Efficiency:
  • The automated system ensures a seamless flow from order placement to delivery, reducing wait times and eliminating inefficiencies.

Why Work With Us?

At Quantox, we specialize in transforming business challenges into innovative digital solutions. When you work with us, you gain access to:

• End-to-End Development: We provide all-around IT support, from initial product discovery to deployment and beyond.
• Custom Integration Expertise: Whether it’s ERP systems, payment gateways, or other third-party platforms, we handle all integrations seamlessly.
• Retail Industry Know-How: Our deep understanding of retail challenges allows us to deliver tailored solutions that drive measurable results.

Let us show you how we can create intelligent IT solutions that enhance your brand, streamline your operations, and elevate your customer experience.

Let’s Build the Future Together

Do you have an idea that could transform your business? Reach out to us today, and let’s create something extraordinary.

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In today's digital age, where innovation is rampant and creativity knows no bounds, safeguarding intellectual property (IP) is paramount. With the rise of digital piracy and the ease of unauthorized duplication, protecting one's creative works has become an increasingly daunting challenge. However, with the emergence of groundbreaking platforms like Verifismart, developed by the Quantox team, individuals and businesses can now rest assured that their intellectual assets are fortified with robust cryptographic protection.

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Revolutionizing IP Protection

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Verifismart is a testament to the innovation and technological prowess, offering a transformative solution to the age-old problem of IP theft. Leveraging the power of blockchain technology, Verifismart empowers users to validate the authenticity and ownership of their creative works with unparalleled precision and security.

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Cryptographic techniques for high-level security

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At the heart of Verifismart lies the expertise of the Quantox team, whose proficiency in cutting-edge technologies has paved the way for its success. Through meticulous research and development, our team harnessed the capabilities of Solidity, NodeJS, Laravel, and React to craft a platform that sets new standards in IP protection.

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By incorporating advanced cryptographic techniques such as hashing, encryption, and data signing and verification, Verifismart ensures the highest level of security for users' intellectual assets. This sophisticated approach safeguards against unauthorized access and instills confidence in users, knowing that their creative works are shielded from infringement.

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A Test of Resilience

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The journey towards creating Verifismart had its challenges. Designing a system that effectively cryptographically protects intellectual property demanded ingenuity and perseverance. 

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Through collaborative efforts, we devised a robust framework that integrates blockchain technology with user-friendly interfaces. The result? A platform that not only meets the client's needs but also anticipates the challenges of tomorrow.

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Compromise between Security and IP?

No more. 

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With Verifismart, users no longer need to compromise on the security of their intellectual property. The platform offers a holistic solution that combines enhanced security measures with intuitive functionalities, providing users with the peace of mind they deserve.

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With Verifismart, we have contributed to redefining the landscape of IP protection. We pushed the boundaries to safeguard the creative works with Verifismart and ensure a future where IP remains secure for generations to come. 

In the fast-paced digital era, businesses constantly seek innovative solutions to enhance operations and provide a loyalty-rich customer experience. For golf cart sellers, the challenges lie not only in showcasing their products but also in creating a seamless buying process.

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Bringing the right tools to the table 

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Our client, a forward-thinking entrepreneur in the golf cart industry, approached us with a unique challenge. While the frontend of their website was well-established, they needed a robust backend system to facilitate the promotion and sale of golf carts. The primary goal was to empower the owner with the tools necessary to effectively showcase and sell their inventory.

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Two-step approach for full functionality

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To meet the client's objectives, the Quantox team had a two-step approach. First, we focused on enabling the owner to effortlessly add golf carts to the platform, providing all the essential details that potential customers would find valuable. Second, we dedicated our efforts to creating a smooth and user-friendly buying functionality, ensuring a seamless experience for sellers and buyers. 

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Perfect, user-friendly buying flow

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The central challenge in this project revolved around crafting a perfect and user-friendly buying flow. Streamlining the purchasing process is crucial to keeping customers engaged and satisfied. A golf cart can be a significant investment, and the buying experience is needed to reflect the high standards associated with such purchases.

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Loyalty-Rich Customer Experience

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Creating a loyalty-rich customer experience was at the forefront of our strategy. The website allowed the owner to promote golf carts effectively and facilitated smooth communication between sellers and buyers. This direct interaction fostered trust and encouraged repeat business, laying the foundation for a loyal customer base.

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After implementing cutting-edge solutions, the result was a fully functional website. The owner can now effortlessly add golf carts for sale. The buying flow is intuitive, setting a new standard in the golf cart sales industry.

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Embracing digital solutions and prioritizing a loyalty-rich customer experience can propel businesses into a new era of success. As the industry evolves, staying ahead with innovative solutions will be the key to sustained growth and customer satisfaction.

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Golf Cart Sellers - A Redefined Platform for Loyalty-Rich Customer Experience

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In the realm of technology, innovation often arises from a fusion of diverse fields. One such intriguing intersection occurred in the development of Hypknowledge, a revolutionary website designed to enhance our understanding of sleep habits and provide personalized advice for better sleep. Behind this visionary project lies a tale of meticulous problem-solving, the acquisition of newfound expertise, and the adept use of cutting-edge technologies.

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Understanding the Sleep Science

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At the core of this project was the need to comprehend the intricate details of sleep science. Sleep tracking involves a myriad of terminologies, formulas, and crucial calculations. Quantox team delved deep into the nuances of sleep science to ensure that every mathematical aspect related to sleep extension was accurate. 

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Implementation of HIPAA Standards 

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Creating the solution for our client was not merely about programming; it was about gaining a profound understanding of the health industry and its standards. One crucial aspect that came to the forefront was adhering to HIPAA standards. The team recognized the significance of safeguarding user data, especially when dealing with sensitive health information. Through this project, we not only learned the terminology and phrases associated with sleep science but also acquired a comprehensive understanding of the ethical and legal considerations in the health tech domain.

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Bridging the Gap Between Data and Advice

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The culmination of our efforts resulted in the creation of Hypknowledge. This unique platform empowers users to document their sleeping habits and receive tailored advice to improve their sleep quality. Leveraging Laravel and VueJS, the team seamlessly integrated technology into the fabric of sleep science, offering users a user-friendly and efficient interface to track and analyze their sleep patterns.

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Security as a Priority

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In the healthcare industry, data privacy is paramount. We took a proactive approach to ensure the security of user information. We incorporated HIPAA standards into the development process and created an app that not only delivers valuable insights into sleep patterns but also guarantees the confidentiality and privacy of users' data. This commitment to security reflects the team's dedication to providing a trustworthy platform for users to share their sleeping habits without compromising their privacy.

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Hypknowledge is a project that reflects interdisciplinary collaboration, problem-solving, and a commitment to security and user privacy. The project unlocked the mysteries of sleep science and demonstrated how technology, when wielded with expertise and care, can positively impact customer`s well-being. 

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Hypknowledge - Trustworthy platform for Sleep Analysis

JDM Supply's innovative project redefines the realm of buying and selling automobiles. Unlike traditional buy/sell solutions, JDM Supply required a cutting-edge bidding algorithm that would not only enable users to bid for vehicles but also ensure complete anonymity throughout the entire process.

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Innovating Secure Bidding

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In close collaboration with the visionary team at JDM Supply, we set out to revolutionize the automotive trading landscape. The result is a groundbreaking bidding algorithm that introduces a new dimension of security and anonymity to the bidding process. Our objective was clear - to empower users to bid with confidence, knowing their identities would remain completely confidential.

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Auction Algorithms in Action

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To meet JDM Supply's unique requirements, we harnessed the power of auction algorithms, reshaping the way vehicles are bought and sold. The heart of this project lies in our ability to ensure secure, real-time, and fully anonymous bidding. Leveraging our expertise in Laravel, JavaScript, and WebSockets, we seamlessly integrated these technologies to create a solution that allows users to place bids without any concerns about privacy or security.

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Elevating Anonymity and Real-time Bidding

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Our team's proficiency in implementing auction algorithms is evident in the seamless experience provided by the platform. Every bid placed remains fully anonymous, shielding users from unwanted attention while allowing them to actively participate in auctions. Furthermore, we ensured that all bids are instantly displayed in real-time, enhancing the excitement of the bidding process.

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At Quantox Technology, we take immense pride in our ability to not only meet but exceed the unique challenges presented by projects like JDM Supply - just one of many testaments to our commitment to pushing the boundaries of technology to provide solutions that transform industries.

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JDM Supply - Bidding Transformed with Innovative Algorithms.

At Quantox Technology, we are thrilled to unveil one of our projects – CoreTerminal, a game-changing solution meticulously crafted to empower traders across multiple exchanges, revolutionizing how they approach the dynamic world of cryptocurrency trading.

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Empowering Traders, Elevating Strategies

In close collaboration with our esteemed client, we embarked on a mission to reshape the landscape of cryptocurrency trading. Our vision gave birth to CoreTerminal, a comprehensive cryptocurrency trading solution designed to streamline trading activities and equip traders with unparalleled features and insights.

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Crafting the Ultimate Trading Solution

With our client's goals in mind, we integrated an impressive array of advanced crypto trading tools within CoreTerminal. These include dynamic profit targets, Fibonacci levels, bracket orders, and average-in orders – all seamlessly woven together to provide traders with a winning edge in navigating complex and volatile markets.

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A Symphony of Connectivity

Understanding the paramount importance of seamless connections in trading, we integrated API connectivity across multiple exchanges within CoreTerminal. This integration, backed by robust API keys storing system, ensures traders experience uninterrupted connectivity, enhancing their trading experience and providing an extra layer of security.

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Navigating the Crypto Cosmos with CoreTerminal

CoreTerminal isn't just another trading tool – it's a transformative asset that simplifies the intricacies of cryptocurrency trading while empowering traders with insights and tools needed for success. Our client-centric approach to software development ensures that CoreTerminal offers a streamlined interface that makes advanced trading tools easily accessible, regardless of expertise.

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Whether an experienced trader seeking to refine their strategies or a newcomer eager to explore the world of cryptocurrency trading, CoreTerminal caters to each one's unique needs. Every aspect of CoreTerminal reflects our dedication to innovation, making it an indispensable tool in their trading journey.

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CoreTerminal - Empowering Your Trading Experience Today.

In today's rapidly evolving global landscape, businesses are constantly seeking innovative approaches to maximize efficiency, reduce costs, and stay ahead of the competition. One such strategy that has gained considerable traction is outsourcing. 

By entrusting specific tasks or operations to external vendors or specialized service providers like Quantox Technology, organizations can focus on their core competencies while benefiting from cost savings, access to skilled talent, and enhanced flexibility. However, as the business environment continues to evolve, so does the outsourcing landscape. 

In this article, we will explore the future of the outsourcing business model, examining emerging trends, shifting paradigms, and potential use cases.

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The Statistics Behind Outsourcing Business Model

To begin, it is crucial to highlight some key insights from various research conducted throughout the past few years that shed light on the outsourcing landscape and its potential trajectory. While each source provides a unique perspective, they collectively indicate several common trends and themes. 

According to a survey conducted by Deloitte, 70% of companies reported that they currently outsource or plan to outsource a portion of their operations. This demonstrates the enduring appeal and relevance of outsourcing as a strategic business approach.

Moreover, the research emphasizes the importance of global talent in outsourcing strategies. It highlights how organizations can leverage outsourcing to access a diverse range of skills and perspectives, resulting in enhanced innovation and problem-solving capabilities. This aligns with the notion that outsourcing enables companies to tap into a vast global talent pool, facilitating access to specialized expertise that may be scarce or costly to acquire internally.

Additionally, the Statista research provides insights into the future of IT outsourcing and the impact of emerging trends such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML). These technologies have the potential to revolutionize traditional outsourcing models by automating repetitive tasks, improving efficiency, and enhancing the quality of service delivery.

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Evolving Strategies: Navigating the Future of Outsourcing

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Looking ahead, the future of the outsourcing business model holds immense potential. As businesses strive to stay competitive and adapt to changing market dynamics, outsourcing will play a vital role in their strategies. Here are some key trends and developments that are shaping the future of outsourcing:

Specialized Skill Sets: 

The demand for specialized skills will continue to grow, and organizations will increasingly rely on outsourcing to access these skills. Whether it's technologies like blockchain, cybersecurity, or data analytics, outsourcing provides a cost-effective way to leverage niche expertise.

As technology continues to advance at a rapid pace, specialized skills are becoming increasingly important for businesses to stay competitive. According to a study by Statista, the demand for professionals with expertise in emerging technologies is on the rise. 

For example, the growing significance of cybersecurity and data analytics is driving the demand for professionals in these fields. As the volume and complexity of cyber threats increase, organizations need to ensure their data and systems are secure. Outsourcing cybersecurity services to specialized providers with expertise in threat intelligence, incident response, and network security can help businesses mitigate risks effectively.

This is where Quantox Technology excels as a leading outsourcing partner. With a proven track record in blockchain development, cybersecurity solutions, and data analytics services, Quantox offers the ideal skill set to tackle the challenges of the future and give organizations access to a highly talented team proficient in threat intelligence, incident response, network security, statistical modeling, predictive analytics, and machine learning.

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Data Security and Compliance: 

With increasing concerns over data security and privacy, organizations will place greater emphasis on selecting outsourcing partners with robust security measures and compliance frameworks. Service providers will need to demonstrate their ability to handle sensitive data and adhere to relevant regulations.

Data security and compliance are critical considerations when outsourcing. Organizations must ensure that their outsourcing partners have comprehensive security measures in place to protect sensitive information. This includes implementing strong access controls, encryption, and secure data transmission protocols.

In addition to security measures, compliance with industry regulations and standards is essential. For instance, in healthcare, outsourcing providers need to adhere to regulations such as the Health Insurance Portability and Accountability Act (HIPAA) to ensure the privacy and security of patient data. Organizations should thoroughly assess the outsourcing partner's compliance track record and certifications to ensure they meet the requirements.

According to a report by PwC, 88% of companies surveyed were concerned about third-party data privacy and cybersecurity risks. To address these concerns, organizations are implementing stringent due diligence processes when selecting outsourcing partners. This includes conducting comprehensive risk assessments, performing security audits, and establishing contractual agreements that define data security and compliance requirements.

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Automation and Artificial Intelligence: 

As mentioned earlier, the adoption of automation technologies such as RPA, AI, and ML will reshape the outsourcing landscape. These technologies will streamline processes, improve accuracy, and enable service providers to deliver enhanced client value.

Integrating automation technologies in outsourcing operations is transforming how tasks are performed. Robotic Process Automation (RPA) is being widely adopted to automate repetitive, rule-based tasks, reducing errors and increasing efficiency. According to a report by Grand View Research, the global RPA market is expected to reach $10.7 billion by 2027, driven by the need for cost optimization and process efficiency.

Artificial Intelligence (AI) and Machine Learning (ML) are also reshaping the outsourcing landscape by enabling intelligent automation and data-driven decision-making. AI-powered chatbots are increasingly used in customer service outsourcing to provide quick and accurate responses to customer queries. ML algorithms analyze large volumes of data and generate insights, improving forecasting, fraud detection, and personalized recommendations.

The benefits of automation technologies in outsourcing are significant. They lead to reduced manual effort, faster processing times, improved accuracy, and cost savings. Service providers that embrace automation can offer enhanced value to their clients by delivering services with greater speed, efficiency, and quality.

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Enhanced Collaboration: 

Effective communication and collaboration are crucial aspects of outsourcing partnerships, especially when working with remote teams or globally distributed service providers. At Quantox Technology, we recognize the significance of seamless collaboration, and our advanced communication tools and platforms facilitate efficient project management and knowledge sharing.

Cloud-based collaboration tools, such as project management software, document-sharing platforms, and video conferencing solutions, enable real-time communication and collaboration across different time zones and geographical locations. These tools enhance transparency, enable seamless coordination, and promote a shared understanding between the client and the outsourcing provider.

In a survey conducted by Deloitte, 60% of companies stated that effective collaboration and communication are the most critical factors in successful outsourcing relationships. As your trusted outsourcing partner, Quantox Technology is committed to bridging the gap between internal teams and external service providers, fostering strong working relationships, and ensuring the achievement of shared goals. 

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Sustainable and Ethical Outsourcing: 

As businesses increasingly focus on corporate social responsibility, sustainability, and ethical practices, they will seek outsourcing partners who align with their values. This includes considerations such as fair labor practices, environmental consciousness, and social impact.

According to a survey by Nielsen, 66% of consumers are willing to pay more for products and services from companies that demonstrate a commitment to positive social and environmental impact.

Environmental consciousness is also a growing concern. Businesses are increasingly seeking outsourcing partners that embrace sustainable practices, such as reducing carbon footprint, implementing eco-friendly initiatives, and promoting recycling and waste reduction.

To ensure sustainable and ethical outsourcing, organizations should conduct thorough due diligence on potential service providers, assessing their corporate social responsibility policies, certifications, and track records. 

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Customer Experience Focus: 

Customer experience has become a key differentiator for businesses across industries. Organizations are recognizing that outsourcing can be leveraged to enhance customer service, improve response times, and deliver personalized experiences.

Outsourcing partners can provide dedicated customer support teams trained to deliver exceptional service and efficiently handle customer queries. This includes support through various channels such as phone, email, chat, and social media, ensuring seamless omnichannel communication.

Moreover, service providers can leverage customer data and analytics to gain insights into customer preferences, behavior patterns, and pain points. This data-driven approach enables businesses to deliver personalized experiences, tailored recommendations, and proactive support.

According to a report by Salesforce, 84% of customers consider the experience provided by a company as important as its products and services. By outsourcing customer experience functions, organizations can leverage service providers' expertise and specialized skills to enhance customer satisfaction, loyalty, and advocacy.

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Embracing the Shift: Unlocking the Potential of Outsourcing with Quantox Technology

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It’s undeniable that the future of the outsourcing business model looks promising, driven by evolving technologies, increasing globalization, and changing market dynamics. The reports and surveys indicate a continued upward trajectory for outsourcing, with a focus on IT staff augmentation, access to global talent, emerging technologies, and optimized operational efficiency.

Quantox Technology multiplies the benefits of outsourcing: cost savings, access to specialized skills, and increased flexibility.

By entrusting non-core activities to our expert team, your organization can focus on core competencies and strategic growth.

As the future unfolds, those who embrace the potential of outsourcing and adapt to emerging trends will be well-positioned to thrive in a highly competitive global marketplace.

Partner with Quantox Technology today and unlock the full potential of outsourcing to drive growth, innovation, and sustained success. Let’s Talk!

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WHAT A GAME!

After 4 exciting days and a fair play fight - we have the champion of HIT CS:GO Vol.4!

Traditionally held in April, the HIT CS:GO tournament gathered the IT community again for the 4th time in a row.

The number of registered teams, companies and fund donations exceeded the previous years - over 40 teams from more than 35 companies competed in the famous Counter Strike: Global Offensive game!

In 2023, the tournament was dedicated to the youngest, with the goal to improve conditions in maternity hospitals and together we collected 2,291,900 RSD!

HIT 2023 WINNERS:

🥇 Quantox Technology

🥈 Vega IT

🥉 Levi9

We spoke to the winning Quantox team - Miloš Aksentijević, Marko Mitić, Luka Petrović, David Simonović, and Dušan Savanović - for the BTS of becoming a HIT CS:GO champion.

What are your impressions of the HIT Vol.4 tournament? How would you describe the atmosphere this year compared to previous years?

The whole team is united as much as coordinated!

Miloš Aksentijević / Ax.

The impressions are very positive, and the first place contributes a lot to that feeling. The idea is great and I would like it to expand so more teams and donations are coming from year to year.

Luka Petrović / hJk-.^

As in previous years - very positive impressions, a noble goal, and good banter.

Dušan Savanović / dukizen

The impressions are phenomenal! First of all, we love CS:GO, and especially the fact that this is the same team that has been playing and hanging out together for years. Also, the support from colleagues and the entire company truly surprised us and it was nice to see cheering in such a large number!

Who was the most challenging opponent during the competition?

The score shows!

Milos Aksentijević / Ax.

I couldn't decide on one team, so I'll say Levi9 and Vega IT. 

Levi9 seemed to have people who are very good at shooting, maybe even better than Vega. However, Vega was a tactically more prepared team.

Marko Mitić / MiTke-_o

Levi9 and VegaIT definitely. We won Levi9 with a score 2:0, but both maps were very close, and VegaIT took one map from us. If I have to choose one opponent - it would be Levi9.

Dušan Savanović / dukizen

From my perspective, definitely Levi9. Although we met them in the semi-finals, it was clear that the game was played at a much higher level, and this was shown on the first map, Vertigo, where we played as many as three overtimes. The boys from Levi showed a really competitive spirit and we had a really good match.‍

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We witnessed a very tense final of the tournament. Were there any decisive moments in the match and which tactics made the difference?

Maps & tactics - a winning combination!

Miloš Aksentijević / Ax.

Maybe there weren't so many decisive moments, but there were a lot of different tactics from our side. The idea was to occupy as much space as possible on the map, play more aggressively as CT, and make faster rotations. 

Luka Petrović / hJk-.^

I wouldn't say that there were any decisive moments. On our map peak and on the third map we played superbly, and the tactic was not to give them space to play their game - to attack and occupy space.

David Simonović / Unik ACM

There was tension in the final - as in every game. The opposing team led in some moments, where various factors had an effect. Primarily, it was a drop in concentration, which had the greatest impact during the game, and further, there have been short breaks between the semi-final and final matches.

Did you expect to win?

Expectations are expectations - and the result is in the end!

Marko Mitić / MiTke-_o

Honestly, yes... we knew it wouldn't be easy, but we were sure that we could win the tournament.

Luka Petrović / hJk-.^

Yes, because when it was announced that HIT will be organized again this year, we started to prepare and gather 2-3 times a week and play.

Dušan Savanović  / dukizen

I definitely didn't expect us to win and I can't say that my teammates would agree with me here. Not because of a lack of self-confidence, but because of the very fact that every year the tournament has attracted very good teams and players.

We believe that in addition to the tense fight, there were also plenty of laughs. Share some interesting anecdotes from the tournament :)

Enjoy the game!

Miloš Aksentijević  / Ax.

There was a lot of laughter and cheering, which is probably the key to our success. At no point did I feel like we were losing and that we didn't have a solution, so this made us play a very calm game at the top level.

David Simonović / Unik ACM

The whole tournament passed in a relaxed rhythm without tension, and that is the purpose - to enjoy the game, and victory comes just as a bonus!

Dušan Savanović  / dukizen

There was a lot of laughter, but I will point out one anecdote. Our teammate and colleague Mitke (Marko Mitić) is often overrun by planes when we play. It's not because he lives next to the airport - but because he plays the game on his laptop, which gets quite loud after a while.

So we persuaded him to put a “push to talk“ button to avoid those loud noises. During the finale, at one point, Mitke forgot to release that button, so we just heard Luka shout: MITKE AIRPLANE! 

And we really had a good laugh!

Laughter is a cure. Good competition is healthy. Enjoy the game. Help the community.

We are proud that HIT lasts and unites.

See you next year!

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Over the past few years, Data and Artificial Intelligence have become the most trending technology used across all industries. Yes, technology (singular) because Data and AI need to work in synergy to generate the best results. 

By the time the term 'Data' was coined, there was already so much of it that IT professionals and computer scientists quickly realized that sorting out and parsing all the data and, at the same time, analyzing the same data would be impossible for humans. They knew that if anything could help, it would be AI algorithms that would be able to derive valuable real-time insights from that much data. 

The merge of these two disciplines created a technological boom changing businesses left and right. But how exactly?

AI for Business

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Unlike a decade ago, the internet is now filled with data providing important information about consumer habits, likes, dislikes, personal preferences, and activities. This type of data, when paired with AI technology, can help businesses:

• boost efficiency with various process automation solutions
• improve consistency and speed of service
• use customer insight and review to inform decision-makers
• discover new opportunities for new products and services
• it can detect fraud threats
• optimize supply chain operations

We could list the benefits of AI for business for days. However, many people would still need clarification, a concrete example, about how to get a taste of some of these benefits and how they can improve their business operations with AI. 

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Here at Quantox Technology, we believe in a practical approach and the power of learning. With more than 550 IT experts, our team has some of the best mentors in the industry, ready to convey the usage and possibilities of their products in the simplest way. 

Quantox E-commerce AI Solution Use Case

The Quantox team was introduced to an e-commerce client that needed an AI solution to simplify one part of their working process. Our client had an online furniture store where they sold design furniture and artwork. So naturally, they've set up a webshop with thousands of furniture listings where you can filter your search based on your preferences. For example, you could filter furniture by type (beds, couches, sofas, tables), color, manufacturer, material, and many other specifications.

That meant every product needed a string of descriptive words in their specifications for their search filter to work. For example: If you wanted a black table, you would get a listing of any product that mentions the words "black" and "table." But if you wanted a "Sanne Protin black dining table," if labeled correctly, you would get only one result. 

THE PROBLEM

However, the client's problem was not labeling products correctly, rather than the labeling process being money and time-consuming. At that time, their products were being labeled manually, meaning they needed to pay people to input labels individually. 

OUR SOLUTION 

To fix this problem, the Quantox Data & AI team proposed they create an automatic labeling system that will save them valuable resources. We created an AI system that takes an ad as an input and returns "labels" as an output, meaning product type, color, manufacturer, and material. In terms of business, the result was a significant decrease in the labeling cost and time to obtain the labels, which generally sped up the entire listing processing, had a considerable impact on their business, and positively affected their business efficiency.

Translating Human Problems to Data Problems 

1. ASKING THE RIGHT QUESTIONS

So, we were building this system. It's a simple task for a human but could be difficult for a computer. To successfully transfer this business problem into a data problem, we must ask the right questions.

 What would a human do if they had the task of labeling the products?

The trick is to answer these questions in as much detail as possible. For example, some would say, "well, a human would read the description," but the correct answer is, "the human would look at the listing." That means our internal conversation would look something like this:

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Through questions, we slowly realize that humans would look at the image and type in what they see. For example, they see a black table, so they would type that it's a table and it's black. They could also read the description to see who the manufacturer is and what material was used. 

2. DRAWING THE RIGHT CONCLUSIONS

The answers to our questions told us our system needs to be able to emulate human behavior. Mainly it needs to be able to "see" the images and recognize objects on them, but also recognize text, read it, and understand the meaning of it too in order to extract the vital information needed for labeling.

Well, what can "identify" objects in AI? Computer vision certainly can. 

And how can a computer read and understand text just like a human? With Natural Language Processing, of course.

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3. THE DATA AND AI MODELS

As always, we needed data to apply to our AI algorithm, so we took around 20 thousand pre-existing labels to train our AI models. The diagram below shows how data trained our models and how it was deployed, monitored, and maintained.

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On the left side, you'll notice a very important box saying, "hold out a fraction aside." This means we took a small fraction of data from the 20 thousand label batch (about 10-20%), which is the data we did not show to our model. The reason is simple - we wanted to test our model on that data after it's trained. This way, we can see how our model performs on data it hasn't seen before. 

In the middle, you can see that we have two separate models. One that works with images and one that works with text. Each model is tasked to learn different things, and finally, that information is combined to output the desired information. 

The task is simple: "Build a system that says: This listing is selling a lamp, and the color of the lamp is beige-brown-yellow-ish."

We'll learn how this simple task can quickly become a bit more complicated for a computer.

The listings are given as "image+text" pairs, and we're free to choose from a wide arsenal of AI techniques as long as the solution delivers the desired information that is correct for the majority of the time. In the following sections, we describe some methods we opted for.

Our dataset contains around 20 thousand examples similar to this one, containing images of various furniture types: couches, sofas, tables, wardrobes, etc. In addition, the data includes information about where the object is on the image and the product being sold. We used 15,000 examples to train our AI algorithms (training data), while the other 5,000 we used as test data.

Here's an example of what a typical listing looked like.

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‍Disclaimer: The product shown in the photo is for illustration purposes only and does not represent the actual product of our clients. It is used solely to explain and demonstrate the capabilities of our AI models.

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QUANTOX COMPUTER VISION MODEL

Our computer vision model was supposed to extract information from the image. We expected it to localize a lamp and tell us that it is, in fact, a lamp. To do so, our algorithm needed to perform two tasks: object localization and image classification. 

A bounding box consists of 4 numbers representing the coordinates of the box itself:

X_upper_left, Y_upper_left, X_lower_right, Y_lower_right.

Our model, in essence, is a model that tries to predict these four coordinates in an image and assign the label "lamp" to this listing. It does it in such a way that the predicted coordinates should mostly overlap with coordinates provided by humans. At the same time, the product label ("lamp" in this case) should match the human annotations in most cases. 

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‍GOAL: Maximize the overlap and assign the correct label.
Now that we know what the model should do let's see how it does it. 

WHAT ARE CONVOLUTIONAL NEURAL NETWORKS?

Each image was run through a convolutional neural network (CNN) tasked with learning the features of the image. Neural networks are made of neurons. Neurons group into layers. Layers hold numbers used to process our data (by multiplication and addition). Those numbers represent the knowledge of our network. Intelligence even, if you will.

The CNN model we created contains 53 convolutional layers. Each layer transforms the image by applying a convolution operation on the image. Convolution is actually a whole lot of additions and multiplication following the pixel grid of the image and some additional rules.

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What that means is, at a high level, we plug an original image into the CNN, and it goes through each of these layers sequentially. The output of each layer is a slightly modified version of the original image. These modifications can highlight contours and shapes of interest in the original image or blur and make insignificant contours and shapes disappear.

We program the network to tweak the convolution operation and figure out what these shapes are on its own. Then, we let the network try multiple times until the results are satisfactory according to a predetermined criterion. This process of tweaking the layers (or, more technically, tweaking the parameters of the convolutions) is known as training the neural network. 

When the image passes all 53 convolutional layers, we add another two layers, which we construct in such a way that we can read what the network thinks the bounding box is and what is the object residing in that bounding box. Finally, we read predictions from these final layers. They're tweaked similarly to convolutional layers during training. When this lamp was successfully detected, we cropped out the predicted bounding box, extracted the dominant colors, and gave it its first label - a "lamp."

QUANTOX NATURAL LANGUAGE MODEL

Now that we know how the computer vision part of the solution works, the question arises: "Why do we need text at all? Isn't computer vision all we need because we got the colors and the product?"

Well, not exactly. What if the lamp was labeled differently, for example, "torch"? In this example, it isn't, but there could be a lot of other instances where labels can be nothing more than misleading synonyms. We can't simply rely on one-word descriptions of the product coming from some people we don't even know who labeled these listings. They might have labeled it for a different purpose, who knows. That's why we're complementing the information we extracted from images with the data from text. We're shrinking the margin of error and trying to output results that align with the industry's terminology as much as we can. 

Plus, the computer vision model can detect a lamp and might even detect some sort of cat on the bottom of the lamp. Of course, it's essentially wrong detection (because it's not a cat, but a llama), but the text helps us deal with these cases as well, and now we'll see how.

So, let's get technical. Now suppose that our computer vision model detected both a lamp and a cat.

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Now we have two detections: a lamp and a cat. Certainly, a cat is not for sale, nor is it a real cat. It's a cat-shaped pedestal for the lamp, which is probably not even a cat but a llama. This is just to give you a sense of ways these models can be wrong. We need to filter the object detection algorithms' outputs by analyzing text. Remember that the listing description states:

"Created and designed by the famous 20th-century art deco designer Jean-Michelle Jarre, this nightlight can be a great addition to your living room or bedroom for only $99.99". 

Our goal is to search for the words "lamp" and "cat" in this text and find a match. But we would fail if we want to match the exact string of words. There are no words "lamp" or "cat" in the description. But there is the word "nightlight." You'd agree that refers to the lamp. Of course, you would, but how do we build an AI system to figure that out?

That's the goal here. And the tool is, again, a neural network. Specifically, the neural network performing the task of "word embedding," unlike the former network performing the task of "object detection." 

The neural network's inputs are text sequences, and the final output is a numerical representation of the input word. Literally, a sequence of numbers. How many numbers? We can decide that, but the common practice is higher degrees of 2, such as 256 or 512. 

So yes, sequences of numbers, like the lottery, but with one crucial property. When two words of similar contexts, such as "nightlight" and "lamp," are represented numerically, they have similar representation, again by some predefined criteria. However, when words of vastly different contexts are represented numerically, these representations are different, such as "lamp" and "truck," for example.  

So we create a neural network consisting of layers, except they're not convolutional. They're different types of layers, each connected and the final layer from where we can read predictions. Like most NNs, this one also has to predict something, and by tweaking this network, it learns which words frequently co-occur, effectively meaning that the network learns which words are contextually similar. Its knowledge is represented in its layers, which we then extract from the network and use as our "numerical representation of the words themselves." 

When this is trained, we get a numerical representation of all the words from the listing description and all the words from the object detection model, namely, "lamp" and "cat." Now we measure the similarity between the word "lamp" and all the words from the description individually and then repeat the process for the word "cat." The similarity score is a cosine (remember trigonometry?) between the numerical representations of two words for which we calculate the similarity. This cosine similarity ranges between 0 and 1, 0 meaning not similar, and 1 meaning identical. 

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Now relying on the fact that the listing descriptions are highly likely to mention the product itself or at least some products' synonyms, we can expect that whatever the product is ("lamp" or "cat"), it will have a high similarity score with whatever the product is in the description. 

• In this case, the words "lamp" and "nightlight" have, say, the highest similarity between all the combinations, so we say - "THE PRODUCT IS THE LAMP."  
• The word "cat" will have minimal similarity with the words in the description because the description never mentions animals, cats, dogs, pets, or anything within that context, and context is learned in the neural network, so "cat" will end up omitted. That's how we know - "THE PRODUCT IS NOT THE CAT."

Now let's see the results. 

THE RESULTS

When all this is said and done, and the models are trained and validated, it's time to put them to the test and see how they behave on the data they weren't trained on. Remember that the test data contains the "text + image" and the "location + object" parts. We hide the "location + object" part, obtain the predictions from it, and then compare them with the actual location and object. 

When predicting a product, we achieved 91% accuracy on the training set of around 5k examples. As for colors, the number is at about 70% on the same dataset, but it is a pessimistic estimate based on sampling and employing the naked eye to method to say "this is right" and "this is wrong." The reason for that is that people see colors differently. In the case of our lamp, one person can say "beige," but the other person might say "light yellow." Suppose you convert the color names into an RGB system. In that case, they can differ vastly, so if we calculate the Euclidean distance between "beige" and "light yellow" in the RGB coordinate system, we can wrongly conclude that the model made a wrong prediction. In fact, both the model and the person labeling are right. We believe the actual number is much higher than 70% since the errors mostly come from the edge cases where you can argue it's the same color.

‍THE DEPLOYMENT

Once we've run all data through our models and our models were trained and tested, we deployed the model in production. This means that we need to save the models in some sort of model storage, which could be on some location on our server, on our client's server, or on a cloud storage service of choice. In this case, it was the client's server.

Specifically, we used Flask to create a Python API and Docker for deployment. When the API is called, it triggers a forward pass through the neural networks, which returns some predictions. The application then processes those predictions as described above and returns a response. Finally, the client integrates with our model by calling our API from their application, which gets them the desired information. 

They can then process the information however they see fit, e.g., display them in some sort of drop-down menu on their front end or have radio buttons to help their users filter their search when buying furniture. Here's a diagram describing the solution's architecture at the highest level.

And that's it. We described the process of training a computer vision model, a natural language processing model, we touched neural networks a bit, shining a light on what it means to train the neural network, what are "As" and "Is" in "AI," and how the information obtained from these networks is used in practices to improve the user experience when shopping for furniture online! A lot of math and engineering for such a seemingly simple task, right? However, the work pays off when implemented correctly, especially in the eCommerce industry, where there's a great deal of data and many different types of applications for AI solutions.

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Data, AI, and Quantox - a Perfect Recipe for eCommerce Growth!

Transforming your eCommerce business paradigm in 2023 can make your business stand out from the competition by increasing revenue, conversion rates, and the overall popularity of your brand. Integrating AI technology in your eCommerce business gets that much easier with Quantox Technology team of experts that have been providing Data and AI services and eCommerce solutions for years and have a proven track record of success. Our team will take the time to understand your unique needs and develop a customized solution that fits those needs. So, are you ready to unleash the potential of AI for your eCommerce? Let's Talk!

It’s the final curtain call for 2022 and, as 2023 is slowly approaching, it’s already clear that Data & AI (Artificial Intelligence) technologies will play a major role for many businesses in the future. Companies around the globe have already switched their business model and, in some cases, mindset to the digital world and are now looking for ways to bridge the gaps they found in their digital experience. The best solution is now also the talk of the town- Data & AI technology.

With such a wide range of uses in business, from streamlining job processes and aggregating business data, AI is ready to take the two-dimensional technology and surround the consumers with a three-dimensional physical environment.

We probably already interact with AI on a daily basis without even realizing it. However, it is not the same AI most of us imagined, culturally influenced by decades of science-fiction books and movies. Instead, today’s AI can be something most people, especially younger generations, consider a norm, like ”Alexa”.

The idea of AI is not new, but it certainly took a long time to develop. AI technology came into existence in 1956, and it would take decades of developing the technology and systems to get what we have today. Now, Data & AI go hand-by-hand and are even applicable, soon to become invaluable, to any business if they want to ensure success and steady growth. With the potential to simplify the mundane work process and achieve breathtaking results, AI technologies are becoming necessary if you want to gain a competitive edge in any industry. What was once a theory is now a tangible business toll perpetuated by tech giants like Microsoft, Google, and IBM.

So, if you are a business owner looking for a way to transform your business, this article will help you learn about the benefits of Data & AI in business.

What is Artificial Intelligence (AI)?

In order to fully understand how AI technologies can help a business, it’s essential to know what they are. There are many definitions of ”Artificial Intelligence.” Still, the broad term is that ”AI is any computer software that engages in human-like activities like learning, planning and problem-solving”. A bit vague, huh? It’s like saying your colleague is a ”human”- it’s technically correct but doesn’t specify anything. We must go beyond the basic definition and scramble through the details to learn more about different types of AI and where artificial intelligence is used.

Machine Learning

One of the most used AI technologies in business must be machine learning. Machine learning uses algorithms that process large amounts of data in an extraordinary short amount of time. Plus, those algorithms have the ability to ”learn” over time. The more data the algorithm processes, the more its modeling improves.

For example, you own a factory with all sorts of different machinery, and you need each and every one of those to work like a clock. This is where AI comes in. A large amount of data about the functionality and production of your machinery goes into a central location where, thanks to AI technology, a human worker is presented with real-time information about the condition of your machinery.

Such quantities of data and patterns are impossible for a human to sift through, and that’s why AI technology plays an important part. Machine learning can process all the data more rapidly, recognize the patterns and anomalies, and finally notify the decision-makers if maintenance or a repair is needed.

Deep Learning

The development of an interconnected web of artificial intelligence ”nodes” is also known as deep learning. It is a specific type of machine learning relying on neural networks to engage in nonlinear reasoning. Sounds confusing, right? So let’s try to simplify it.

There’s been a lot of hype around self-driving cars, and understandably so. The idea that a vehicle could make the right decisions in traffic as a human would is revolutionary, but thanks to deep learning, today it’s a reality. Self-driving cars use deep learning algorithms to process data collected from their sensors. Information like the distance from other objects and their speed, predictions of where those objects will be in 10 seconds- all that data helps self-driving cars decide when to change lanes. Moreover, deep learning models can improve with every bit of data they process.

Data & AI in Business Today

While the idea of AI was still fresh and developing, many feared that AI could and would replace humans and their job positions. Still, rather than taking over the world, AI today serves as a supporting tool for all of us.

AI technology still has some difficulties completing common-sense tasks in the real world, but what it can do is process data- and fast! By analyzing data faster, AI can also present us with every possible solution for our problem and the consequences of each action. This can help businesses streamline the decision-making process.

For decades, data collection has been a central business practice but impossible for any individual and company to use efficiently. Why? There’s simply not enough time to interpret all data. However, with AI-enabled applications and other digital tools, businesses can collect real-time data from an established database and learn about their consumers’ problems and preferences. Once they know that, they can easily increase efficiency, personalize their product or service, make informed decisions, and reduce costs. All this will eventually lead to increased revenue.

Common Uses of AI in Business

While there’s more room for AI to grow, as it inevitably will, today, we use artificial intelligence technology in the following ways.

• Machine learning: is often used in systems with a large amount of data. AI helps contextualize that data so the company’s decision-makers can understand energy usage or maintenance demands.
• Customer Relationship Management: CRM systems are rapidly changing with AI technology into a self-updating and auto-correcting system that helps businesses stay on top of their relationship management.
• Internet and Data research: AI has become irreplaceable when it comes to providing internet users with customizable experiences. Now, businesses of all sizes and types can easily target their specific audience without relying on the users’ search box. Thanks to AI, the right information is finding its way to the user now.
• Digital Personal Assistant: businesses can leverage Data & AI in many different ways, not just by transforming their services and customer relations. Artificial intelligence can help reorganize a company’s operations and streamline the workflow. Everything from emails, calendars, and work processes can be done with the help of AI personal assistant bots. So, by leaving smaller tasks to AI, employees, managers, and decision-makers can dedicate themselves to developing strategies that will increase revenue and boost company success.
• Cyber-security: AI serves as a 24/7 ”extra set of eyes” that monitors data input patterns, finds anomalies and threats, recognizes cyber-attacks, and backtracks to their source. It can also prevent future threats.

How Can AI Improve Business Processes?

Do you want to start using artificial intelligence technology in your organization but still don’t know which processes you can and should automate with AI? The latest Data & AI reports show that many industries that implemented this technology are already experiencing major growth in revenue just by automating a portion of their business processes. Well, let’s learn more about the stronger points of AI technology to know how a business can use artificial intelligence to their advantage.

Five Things AI is Just Better At

AI technology is a long way from surpassing human intelligence and has its limits, but there are some things where AI technology is a better solution. Easy to adopt and implement in any business practice, AI is very good at interpreting visual, text, and speech formats.

Visual

Many industries use visual tracking in order to increase productivity and efficiency. This is only possible with AI and its vision-trained capabilities that range from storing and captioning documents to supporting IoT (Internet of Things) sensor arrays.

In short, you can train AI technology to process, identify and search images using computer vision and later use it for things like tracking clinical workflow, automating inspections for a manufacturing process, or even monitoring store conditions.

Speech

So we are back to Alexa or Siri as an ultimate proof of just how much users and consumers love to be engaged. Customer engagement, in this case, excelled thanks to the AI technology converting speech to text and vice versa. You can also use this AI benefit for company staff training.

Knowledge

By mapping information, providing recommendations, and supporting semantic search, AI can be used to improve user experience and offer your consumers information they’ll actually find helpful.

Search

The profile of your everyday user has changed, and newer generations of consumers will be hard to satisfy and engage. Accuracy and search engine speed are the key to success. Still, they can only be achieved by using AI to enhance your search functionality while enabling it to use images, videos, web pages, and more to give your consumers exactly what they need.

Language

We’ve come a long way from communicating to technology in 0’s and 1’s, and today we can even hold a real, full-sentence conversation with it. Thanks to Natural Language Processing (NLP), businesses can integrate bots to chat with consumers. This type of AI technology can translate languages and even recognize sentiment, letting you know whether your consumers are satisfied or not.

How to Manage Data & AI in Business?

With great data comes great responsibility- this is something every business owner should know. You can quickly improve products and services with AI by using the data and increasing its value, but only if you manage and secure your information and protect your business, employees, and customers.

If you own a business that uses AI technology, you should have a comprehensive data management strategy for:

• access
• authentication
• creation
• privacy
• processing
• security
• storage

Cyber-criminals target other businesses’ information by looking for emails, addresses, phone, and account numbers. It is a significant concern of every business, regardless of the size or industry. AI technology can tackle a great deal of tasks related to security of any organization by fine-combining through all patterns and finding any anomaly within milliseconds.

5 Steps to Take Before Implementing Data & AI in Business

Using AI technology for business may be the next best thing, but you should still take steps before transforming your business with AI-based tools.

Step #1 Ask Important Questions

Using the latest AI technology trends can be beneficial for a business only if the right trend is picked and implemented. With that being said, don’t dabble in trends that offer little to no benefits to your business or industry. Instead, ensure that the AI technology is the best tool you can use for your specific industry, business size, and model. Ask yourself if AI can be used to boost your business, but also how you or your users can misuse it.

Step #2 Stay Human-Oriented

Remember that humans created AI technology and, as such, it is prone to mistakes. Dispose of the idea that you’ll create a mistake-free environment by replacing a human employee with AI technology. Always keep this in mind as you review the results your AI provides.

Step #3 Stay Unbiased

Believe it or not, human bias can affect the AI algorithm in many ways, so carefully choose the data set you’ll use as you create a training model. Also, ensure that the creator hasn’t unintentionally programmed their own bias into your AI.

Step #4 Explain Your AI

Your users or stakeholders will want to know the logic behind your AI and how it reached a particular conclusion. Explaining your AI’s decision-making process will help you maintain trust between you and all other parties.

Step #5 Use Data & AI Responsibly

Since AI technology can be quite a powerful tool, it mustn’t fall into the wrong hands. Responsible AI refers to frameworks that ensure businesses act transparently and ethically with AI technology. So ensure you can follow all government regulations regarding using AI technology before you even create an AI business strategy.

The Future of Data & AI

While we can’t predict the future, it is clear that Data & AI technology will become an even more integrated part of the workforce. With the potential to replace many human jobs, this technology can also lead to the specialization of employee skills. Where AI will take over data analysis, people will be required to cultivate qualitative skills like creativity and problem-solving.

With further technology development, we’re bound to see new business applications, consumer uses, and new startups emerging. The Internet of Things and Data & AI make a powerful combination that can easily change the economy. With so many benefits of artificial intelligence, those companies that utilize this technology in the right way can make it to the top in no time, completely turning the tables for themselves and their competition.

Start Your Data & AI Journey with Quantox Technology!

Quantox Technology ensures the best professionals in the field create your AI solutions. Our Data & AI experts have over a decade of experience building reliable AI applications engineered to scale your business and increase revenue. Discover the potential of AI technology and benefits of big data and how it can ensure long-term success for your business with Quantox Technology. Let’s Talk!

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