Retail Video Analytics for Smarter Store Operations - Case Study
How a retail store operator was able to supercharge store operations, improve compliance and increase customer happiness by using Video Analytics
Client Overview
They are home to a multitude of leading international and national brands in apparel, fragrances, accessories, cosmetics, footwear, home décor, and furnishings, catering to the needs of the entire family. As one of the largest department store chains in India, they aspire to provide customers with a world-class retail shopping experience.
Their vision is “to be an inspirational and trusted brand, transforming customers’ lives through fashion and a delightful shopping experience every time.” With a strong team of professional associates, they continuously strive to enhance customer satisfaction and service quality.
Embracing the philosophy of “Start Something New,” they are redefining retail innovation in India. By blending technology, retail analytics, and customer-centric service, they are shaping the future of shopping with operational excellence and memorable experiences.
The AIVIS Solution
One of the biggest advantages of the AIVIS Video Analytics solution is that it works seamlessly with a client’s existing CCTV cameras, eliminating the need for expensive hardware upgrades. With powerful edge deployment capabilities, AIVIS ensures faster processing and minimal resource usage, making the solution both cost-effective and efficient.
To meet diverse operational needs, the solution is available in cloud, on-device, and hybrid models, giving businesses the flexibility to scale video analytics across multiple locations with ease.
Using AIVIS’s seamless edge deployment the client was able to access video analytics on their pre-existing CCTV system.
The client was able to easily access and monitor the operations.
The client received real-time updates through various channels like WhatsApp, Email, SMS and the Agrex.ai App.
The AIVIS Effect
AIVIS Goals
AIVIS is a specialized video analytics platform for Industry 4.0, built to make retail environments smarter, safer, and more efficient. At Agrex.ai, our focus is on elevating the shopping experience for customers while ensuring paramount security and operational excellence through AI-powered video analytics.
Our goal is to transform the retail video analytics industry with innovative solutions tailored for retailers, malls, and stores. AIVIS goes beyond surveillance — it safeguards assets while providing actionable insights that help optimize store layouts, improve staff efficiency, and create better customer experiences.
With powerful features such as AI-driven Heatmaps, AIVIS enables retail owners to track high-traffic areas, understand shopping patterns, and analyze customer demographics like age and gender. These insights help businesses identify which sections drive maximum sales and anticipate crowd movement for better planning.
By combining security, analytics, and artificial intelligence, AIVIS empowers retailers to move toward a truly data-driven and technology-oriented future. Our vision is to redefine how retail analytics and store operations work, enabling smarter decisions, higher sales conversions, and long-term operational excellence.
AIVIS Analysis
The AIVIS Video Analytics solution enabled the company to gain powerful customer intelligence by capturing demographics, tracking footfall trends, and identifying unique versus repeat customers. Advanced features such as facial expression analysis and dwell time measurement provided deeper insights into how shoppers interact within the store.
Through heatmaps, customer path tracking, shelf analytics, and eye tracking, AIVIS helped uncover shopping patterns and optimize store layouts. These insights allowed the company to improve product placement, enhance the customer journey, and boost sales conversions by better understanding where customers spend time and what captures their attention.
In addition to customer insights, AIVIS strengthened loss prevention and security. By monitoring suspicious behavior, enabling face recognition for future records, and providing staff monitoring, the system helped prevent theft and minimize unforeseen risks—making store operations not just smarter, but also safer.
Strategies for Improvement
To ensure AIVIS continues to deliver maximum value, we are focusing on several key improvement strategies:
- Ongoing Model Training – Regularly updating our analytics models with fresh training data to maintain high accuracy and adaptability.
- Continuous Monitoring – Actively monitoring system performance and refining algorithms to keep pace with changing customer behavior and operational needs.
- Innovation & R&D – Investing in research and development to introduce smarter, more efficient video analytics strategies.
- Technology Integration – Seamlessly integrating emerging technologies and systems with AIVIS to enhance overall performance and scalability.
- Enhanced User Experience – Improving UI/UX design to make insights more accessible, intuitive, and actionable for stakeholders.
- Advanced Visualization – Introducing new charts, dashboards, and graphical representations to simplify complex data and support better decision-making.
Boost Retail Sales with AIVIS Video Analytics
Unlock Customer Behavior Insights Using Video Analytics
As the retail industry grows increasingly competitive, retailers are turning to video analytics to gain a sharper edge through customer intelligence. By capturing insights such as demographics, facial expressions, repeat visits, and dwell time, retailers can better understand customer behavior and transform this data into actionable strategies.
These insights enable businesses to enhance the shopping experience and drive higher sales. By knowing who their customers are, how they shop, and what influences their decisions, retailers can optimize store layouts, product assortments, and service quality. They can also introduce loyalty programs and personalized experiences that strengthen customer relationships and boost conversions.
By leveraging customer intelligence through video analytics, retailers ensure they are meeting real customer needs—ultimately increasing satisfaction, loyalty, and overall profitability.
How Customer Intelligence Improves Retail Sales
Customer intelligence helps retailers understand shopping behavior and preferences, enabling smarter business decisions. By analyzing spending patterns, retailers can determine which products to stock, the best times to run promotions, and how to tailor offers to specific customer segments.
It also highlights pain points in the shopping journey, such as areas where customers may face delays or frustration. Addressing these issues improves the overall customer experience, leading to greater satisfaction and loyalty.
Retailers who leverage customer intelligence data gain a deeper understanding of their audience, allowing them to provide the right products, the right services, and a seamless shopping experience. The result is higher customer retention, stronger brand trust, and increased sales.
Boost Your Retail Sales with AIVIS
Gain Actionable Customer Intelligence Through Video Analytics
Track Customer Behaviour with Video Analytics
To better understand how customers interact with your business, video analytics provides powerful insights into customer behaviour and shopping patterns. By monitoring footfall, dwell time, movement paths, and engagement with different zones or products, retailers can uncover valuable data that drives smarter decisions. These insights not only improve the customer experience but also help optimize store layouts, product placements, and staff allocation—leading to higher satisfaction, stronger loyalty, and increased sales.
Tracking Customer Paths
Understanding customer behaviour is one of the most critical aspects of retail success. Insights into how shoppers move through a store, engage with displays, and interact with products help businesses make smarter decisions about product placement, store layout, and staffing. Traditional methods such as surveys or manual video observation are no longer practical for large and complex retail environments. With AI-powered video analytics, retailers can now track customer paths in real time, gaining precise data on movement patterns, dwell time, and areas of interest. This information empowers businesses to optimize store design, improve product visibility, and enhance the overall shopping experience, leading to increased customer satisfaction and higher sales.
Shelf Analytics to Identify Products Selling Out
In retail, knowing which products are selling quickly and which are being overlooked is critical for effective inventory management. Shelf Analytics powered by video analytics provides real-time insights into customer interactions with products, helping retailers track demand patterns with precision. By analyzing customer behaviour through in-store cameras, retailers can identify fast-moving items, detect slow-selling products, and understand how shoppers engage with different categories. This intelligence allows businesses to optimize stock levels, pricing strategies, and promotions to maximize sales opportunities. With Shelf Analytics, retailers can ensure shelves are always stocked with high-demand products, reduce lost sales due to stockouts, and make data-driven decisions that improve both customer satisfaction and profitability.
Enhancing Retail Security and Loss Prevention with AIVIS
Prevent Loss and Enhance Safety with Video Analytics
Video analytics works by tracking and identifying various elements within live or recorded video streams and alerting security staff of possible events. It can also be applied to previous footage, providing organizations with valuable data to enhance their security strategies and improve decision-making. Key Functions of Video Analytics:
Intrusion and motion detection
Instantly detects unauthorized entry, unusual movements, or restricted area breaches, allowing security teams to act before incidents escalate.
Suspicious Behaviour Monitoring
Identifies loitering, unusual crowd patterns, or risky behavior, helping prevent theft, vandalism, or other security threats.
Unattended Object Detection
Identifies objects such as bags, packages, or items that are left behind or removed from their usual place. This helps security teams quickly respond to potential threats, prevent theft, and maintain a safe environment.
Fire, Smoke & Hazard Detection
Detects early signs of smoke, fire, or other hazardous anomalies, enabling faster emergency response and reducing risks to people, property, and operations.
Conclusion
The retail industry is at an inflection point where technology is no longer just a support function but a core driver of success. This case study demonstrates how Agrex.ai’s comprehensive Retail Video Analytics platform empowers retail operators to move beyond traditional, reactive management. By transforming raw video into granular, actionable intelligence – from customer journey funnels to layout impact analysis – Agrex.ai enables retailers to proactively enhance operational compliance, optimize staff deployment, drastically improve customer experience, and ultimately drive significant growth and profitability. Embracing Agrex.ai’s intelligent solutions is not just an option, but a strategic imperative for any multi-location retailer aiming to thrive in the modern market.