Walk into almost any mall, supermarket or flagship store today and you are likely to see cameras across entrances, aisles and checkout areas. Retailers have invested significantly in video infrastructure to support security, safety and loss prevention, but the value of these systems can extend beyond monitoring incidents.Ask how many people visited a store over a particular period, and point-of-sale data may only show how many customers completed a transaction.
It does not necessarily account for those who browsed without buying. Ask how long shoppers spent in a particular product area or when queues began building during peak periods, and the answers may not be readily available. This presents an opportunity for retailers. They already have large volumes of visual information being generated across their stores, but much of its potential operational value remains untapped.
India’s Retail Expansion Is Changing the In-Store Experience
India’s physical retail landscape continues to expand and evolve. According to CBRE, retail leasing across India’s top cities reached a record ~8.9 million sq. ft. in 2025. CBRE also noted that retailers are increasingly experimenting with experiential flagship stores, kiosks and Gen Z-focused store formats, which are contributing to customer visits, dwell time and brand engagement.
Direct-to-consumer (D2C) brands accounted for approximately 27% of total retail leasing in 2025, with CBRE identifying them as a key driver of retail leasing across major metros. As retailers place greater emphasis on the in-store experience, understanding what happens within these physical environments becomes increasingly important. This creates an opportunity to look at existing video infrastructure not only as a security resource, but also as a source of operational insight.
Turning Video Data into Store Insights
Retailers looking to close this gap do not necessarily need to start with entirely new infrastructure. Instead, they can explore how analytics can add intelligence to the video systems they already have. Consider dwell time. A camera monitoring a high-value product area captures activity throughout the day, but simply viewing footage provides a record of what happened. With appropriate analytics, the same video feed can help retailers understand how long shoppers engage with particular displays and identify patterns that may inform merchandising, store layouts and product placement.
Consider queue management. Long checkout queues can affect the customer experience and may contribute to customers abandoning their purchases. Rather than relying solely on manual observation, video analytics can monitor people counts and queue lengths and alert staff when predefined thresholds are reached. This can help teams respond more proactively by opening additional checkout counters or reallocating staff when required.
Consider footfall. Entrance counts, when viewed alongside transaction data, can provide retailers with a broader picture of store performance. A day of lower sales, for example, may coincide with lower visitor traffic — or it may indicate that other factors within the store are influencing conversions. Understanding this distinction can help retailers investigate whether merchandising, staffing, store layout or other operational factors may require attention.
The value lies not in replacing existing infrastructure, but in connecting it to the question’s retailers need to answer about their stores.
From Security to Store Intelligence
The agentic, AI-driven shift in retail is not limited to chatbots, recommendation engines, or other customer-facing technologies. It is equally relevant to what happens inside the physical store, where customer behaviour and operational decisions continue to shape the retail experience.
For retailers, treating video infrastructure purely as a security investment means overlooking the wider value that visual data can offer. By treating video as a continuous source of operational intelligence, retailers can begin to answer questions that go beyond security: Who is entering the store? How are customers moving through it? Where are they spending time? And where might the business be losing an opportunity to convert?
The cameras are already there. The data is already being generated. What is needed is the ability to transform that data into actionable intelligence that store managers, merchandisers, and business leaders can use in real time. As India’s retail sector becomes increasingly competitive and customer expectations continue to evolve, turning video into actionable insight could become a practical and immediate way for retailers to better understand their stores, respond to changing customer behaviour, and make more informed operational decisions.
The article has been written by Diya Girish, Sales Director, India and SAARC, Milestone Systems
