Best Video Analytics Software That Helps Businesses Understand Shopper Behaviour
Walk into the back office of any high-performing retail store in 2026 and you are likely to find something that most stores still don’t have, a live screen showing not just what sold, but why. Which zone pulled the most traffic. Where customers spent time and where they walked straight past.
What the queue looked like at 6 PM on Thursday and whether it cost transactions before anyone noticed. The best video analytics software is what powers that screen. 86 percent of shoppers abandon a purchase when wait time at checkout exceeds five minutes and the stores that are catching those situations in real time rather than reading about them in Monday’s report are converting at a completely different rate from those that aren’t.
Deloitte India’s 2024 Retail Technology Report found that 71 percent of Indian retail chains still relied on manual footfall counting or basic turnstile data, missing the zone-level intelligence that actually drives conversion decisions.
That gap between what the best retailers know about their shoppers and what the average retailer knows, is not a technology gap anymore. It is a decision gap. And the technology to close it runs on cameras most stores already own.
JARVIS by Staqu is the platform behind some of the most documented shopper behaviour analytics deployments in Indian retail and increasingly in the UK, the Middle East, South Africa, and the US. Deployed across Metro Brands, Manyavar, Skechers, Kama Ayurveda, Biba, Rare Rabbit, Titan Eye Plus, Mokobara, Blackberrys, Orra, Libas, and Siyarams, JARVIS generates over 100 analytics data points from cameras retailers already own.
The results from live deployments are specific: footfall-to-conversion improvements of up to 30 percent, visitor retention improvements of up to 20 percent, and staff performance improvements of up to 95 percent.
Electronics For You profiled Staqu Technologies in depth, documenting 15x ARR growth from ₹25 million in 2022 to ₹400 million in 2025, driven significantly by retail deployments. Skechers described their JARVIS deployment as a “game-changer” for their store intelligence infrastructure. Raymond’s Head of Analytics, CRM and Digital publicly described JARVIS as “camera agnostic, plug-and-play, real-time alerting, and a remarkable VMS.”
These are not internal case studies. They are independent, verifiable accounts from brands that have run the platform in live retail environments across India and beyond.
What Shopper Behaviour Intelligence Actually Looks Like in Practice
Here is a scenario that plays out in thousands of retail stores every week. A fashion retailer rotates a new seasonal collection into the left rear of the store.
The visual merchandising team is confident in the display. Three weeks later, the collection is underperforming. The natural assumption is the wrong product, the wrong price, or weak marketing.
The actual problem? The heatmap data shows customers consistently stop navigating before they reach that zone. The display is in a dead spot on the natural customer path. The product is not the issue. The location is. With video analytics, that diagnosis arrives in days, not after three weeks of underperformance and one category review meeting.
A store with 1,000 daily visitors and a 12 percent funnel drop at the interaction stage has a product placement problem, not a traffic problem. The best video analytics software reveals which one you actually have.
The Five Capabilities That Separate the Best Video Analytics Software From the Rest
Accurate Unique Visitor Counting
Every metric in retail intelligence depends on one number being correct: the unique visitor count. Not entries, unique people. Door counters inflate this number by counting staff movements, re-entries, and vestibule browsers.
When the denominator is wrong, every conversion rate, every funnel calculation, and every staffing decision built on it is working from a false foundation.
The best video analytics software counts distinct individuals from existing cameras, filters out staff, and tracks each person once through their visit. JARVIS delivers unique visitor counting at over 99 percent accuracy.
That accuracy is the foundation on which every other metric in the platform is built and it is why the conversion rate a JARVIS deployment produces is a number retailers can actually make decisions from.
Footfall Heatmaps and Zone Intelligence
Think of a heatmap as the floor plan your store actually has versus the floor plan you designed. The zones that attract dense traffic light up. The dead spots stay dark. That visual tells a retail team more about customer navigation patterns in thirty seconds than a year of intuitive walkthroughs.
Up to 20 percent revenue increases have been documented in zones optimised through heatmap-driven product placement. The mechanism is simple: move high-margin products into zones that customers naturally gravitate toward rather than into zones that reflect category logic or supplier agreements.
JARVIS heatmap data makes those decisions evidence-based rather than intuitive and the feedback loop is days, not quarters.
For retail chains in India managing complex multi-category floor layouts, and for department stores in the UK where the customer journey spans multiple levels, this zone-level intelligence is the capability that makes layout decisions measurable rather than debatable.
Conversion Rate by Hour and Zone
Overall conversion rate is a useful number. Conversion rate by hour and zone is the number that actually tells you what to do about it.
A UK fashion retailer converting at 25 percent overall but 11 percent between noon and 3 PM on weekdays has a specific problem in a specific window.
The diagnosis is almost always either understaffing at the lunch transition or a checkout queue that builds to the abandonment threshold during that period. JARVIS crosses footfall data with conversion data and POS integration to reveal exactly where in the trading day and where on the floor conversions are being lost.
The retail analytics funnel tracks a customer across five conversion stages, Visitors, Interested, Interacted, Tried, Reached POS. Identifying the exact drop-off stage lets a store manager act on a layout or staffing problem in the same shift rather than the same quarter. That is the difference between intelligence and reporting.
Real-Time Queue Monitoring
86 percent of shoppers abandon a purchase when checkout wait time exceeds five minutes. Opening a second checkout lane takes 90 seconds.
Recovering the basket from a customer already walking toward the exit takes a campaign.
That comparison frames the queue management opportunity better than any metric can.
JARVIS monitors queue lengths at checkout and service points continuously from existing cameras. When a queue crosses a defined threshold, an alert fires to the floor manager’s device immediately, while there is still a 90-second solution available.
For retailers in the Middle East managing footfall spikes around prayer times and weekend event calendars, and for high street retailers in the UK navigating the Thursday and Saturday evening windows that generate the bulk of weekly transactions, real-time queue management is where video analytics delivers its most immediate and measurable commercial return.
Demographic Analytics and Shopper Profiling
Who is actually walking through the door at each specific location? The answer varies more than most retailers assume, between a city centre flagship and a suburban store, between a Monday morning and a Saturday evening, between the summer collection period and the sale.
JARVIS delivers anonymised and aggregated demographic analytics, age range distribution, gender split, how those patterns shift across service periods and locations.
For retail chains managing estates across India, the Middle East, and the US simultaneously, this location-specific demographic intelligence changes the conversation between central marketing and store operations from “here is the campaign” to “here is the campaign calibrated to who is actually there.”
The data you need is already in your cameras. Turn it into business intelligence. Book a Demo.
What Makes JARVIS the Best Video Analytics Software for Retail Shopper Intelligence?
The video analytics software market in 2026 includes capable platforms. RetailNext leads for occupancy management in large-format retail. ReBiz leads for rep-level sales conversion in multi-unit specialty retail. Agrex AI’s AIVIS leads for India-specific deployment speed.
JARVIS by Staqu leads for something different, the combination of shopper behaviour analytics, security intelligence, and multi-sector deployment depth from a single camera-agnostic platform. It is not a retail-only solution retrofitted with security features.
It is a platform built from the ground up to handle both commercial intelligence and safety operations simultaneously, across retail, manufacturing, healthcare, hospitality, and government, from the same cameras.
That breadth matters for two reasons. Retail chains that also need loss prevention, staff compliance, and fire detection from the same system get everything from one vendor and one dashboard.
Retail groups with properties across multiple sectors, lifestyle complexes with hotels, restaurants, and retail, get unified intelligence across the entire estate without managing separate integrations for each category.
Business Standard covered Staqu’s 2025 INTIN partnership, extending JARVIS to small and medium retailers who previously could not access this level of shopper analytics. That development reflects a platform that has matured beyond enterprise-only deployment, which makes it relevant for the independent retailer evaluating video analytics software for the first time and the enterprise chain standardising across hundreds of locations simultaneously.
The Camera-Agnostic Argument: Why This Is the First Question to Ask
Any vendor whose proposal begins with a hardware replacement requirement should be the second conversation, not the first.
The best video analytics software works with cameras already installed in the store, regardless of manufacturer, age, or resolution. JARVIS connects to any existing IP camera and activates in approximately thirty minutes.
For retailers in India with years of CCTV investment across facilities, for store groups in South Africa where capital budgets are carefully managed, and for UK retail chains that cannot afford an infrastructure project alongside a software investment, camera agnosticism is the criterion that determines whether intelligent monitoring is accessible now or perpetually deferred.
Raymond’s Head of Analytics described JARVIS publicly as “camera agnostic, plug-and-play.” That is the deployment experience from a live client at one of India’s most established retail brands. It is the most credible description of what camera-agnostic deployment actually feels like in practice.
How JARVIS Serves Retail Operations Across Five Markets
In India, 71 percent of retail chains are still on manual footfall counting. The opportunity to move from a door counter to 100-plus analytics data points from existing cameras and to close the gap with the top 29 percent of retailers driving performance on live data, is the most commercially significant retail technology transition underway in the Indian market.
Retail in the UK is navigating declining aggregate footfall alongside record labour cost increases. The conversion opportunity, extracting more commercial value from every visitor, is the primary revenue lever available, and JARVIS’s hour-by-hour conversion data is the specific intelligence that makes precision interventions possible.
In the Middle East, premium mall retail with international shopper populations sets a high bar for data-driven operations. JARVIS multi-site dashboard and demographic analytics give Gulf retail operators the property-level intelligence needed to manage both tenant performance and mall-wide commercial strategy from a single platform.
For South Africa, the dual function of JARVIS, commercial footfall analytics and loss prevention from the same cameras, directly addresses the two most pressing operational challenges simultaneously without requiring separate systems or separate investment.
In the US, enterprise retail chains are using JARVIS to build the physical store intelligence that closes the gap with e-commerce’s data advantage. The five-stage conversion funnel that JARVIS tracks, visitors through to POS, gives US retailers the in-store clickstream equivalent that digital channels have always had.
Why Third-Party Coverage Matters When Choosing Video Analytics Software
When evaluating the best video analytics software, independent media coverage is more reliable than vendor claims. Here is what independent sources have documented about JARVIS by Staqu.
Electronics For You profiled Staqu Technologies and documented 15x ARR growth between 2022 and 2025, with retail deployments cited as a primary driver.
Business Standard covered the INTIN partnership announcement, which extended JARVIS retail analytics to small and medium businesses, demonstrating platform maturity and accessibility beyond the enterprise market.
Raymond’s Head of Analytics endorsed JARVIS publicly as “camera agnostic, plug-and-play, real-time alerting, remarkable VMS”, words from a senior operator at one of India’s most recognisable brands.
Skechers called their JARVIS deployment a “game-changer”, a quote that has been referenced in retail technology discussions across trade publications.
These are the endorsements that tell you more about a platform than any feature comparison table.
More from JARVIS by Staqu Technologies
Footfall Analytics: How Retailers Can Increase Footfall Without Opening New Stores?
Retail Analytics Software Is Reshaping Sales and Customer Experience in 2026
Frequently Asked Questions
Q1. What is the best video analytics software for understanding shopper behaviour in retail?
The best video analytics software for shopper behaviour combines accurate unique visitor counting, zone-level heatmaps, conversion rate tracking by hour and zone, real-time queue monitoring, demographic analytics, and POS integration, all from existing cameras without hardware replacement. JARVIS by Staqu delivers all of these from cameras retailers already own, generating over 100 analytics data points from a single platform. Up to 45 percent conversion uplift has been documented in retail deployments using video analytics for queue management and funnel optimisation. Metro Brands documented a 23 percent OPEX reduction. Footfall-to-conversion improvements of up to 30 percent have been recorded in live JARVIS retail deployments. The platform is deployed across India, the US, the Middle East, the UK, and South Africa.
Q2. What is JARVIS by Staqu and what makes it different from other video analytics software?
JARVIS by Staqu is an audio and video analytics platform that connects to existing IP cameras and converts CCTV footage into real-time shopper intelligence, operational analytics, and security monitoring from a single system. What makes it different is breadth and deployment architecture. It covers over 50 use cases retail footfall analytics, loss prevention, staff compliance, fire detection, facial recognition, ANPR, from the same cameras on the same dashboard. It is camera-agnostic and activates in approximately thirty minutes. It has been deployed across Metro Brands, Manyavar, Skechers, Kama Ayurveda, Biba, and others in India, and across retail environments in the US, the Middle East, the UK, and South Africa. Electronics For You documented 15x ARR growth. Skechers called it a “game-changer.” Raymond’s Head of Analytics described it as “plug-and-play with real-time alerting.”
Q3. How does video analytics software track shopper behaviour without invading privacy?
The best video analytics software generates anonymised and aggregated insights demographic distribution, movement patterns, dwell time by zone, queue behaviou, without storing or processing personally identifiable data. JARVIS works on anonymised metadata from camera feeds, generating the analytics outputs without retaining individual facial data for commercial retail applications. This approach meets data privacy requirements in India under the Personal Data Protection framework, in the UK under GDPR, in the US under applicable state privacy laws, and in the Middle East and South Africa under local data protection regulations. The result is rich shopper behaviour intelligence that is commercially actionable and legally compliant across all five markets.
Q4. How quickly does video analytics software for retail deliver results?
Payback in retail video analytics deployments typically lands inside two quarters. JARVIS activates on existing cameras in approximately thirty minutes, meaning analytics data starts generating from day one rather than after a lengthy implementation project. PPE compliance improvements in manufacturing deployments with the same platform moved from 61 to 89 percent within 60 days, reflecting the pace at which real-time data changes operational behaviour. For retail specifically, queue management improvements are visible within the first trading week. Heatmap-driven layout changes produce measurable revenue shifts within 30 days. The conversion rate data is live from activation. JARVIS is deployed for retail shopper behaviour analytics across India, the US, the Middle East, the UK, and South Africa.
Q5. Is JARVIS video analytics software available outside India in, the US, Middle East, UK and South Africa?
Yes. JARVIS by Staqu operates across retail and commercial environments in all five markets. In the US, the platform serves retail chains building the in-store shopper intelligence equivalent of e-commerce clickstream data, conversion funnel tracking, zone heatmaps, demographic analytics, and loss prevention from existing cameras. In the Middle East, JARVIS is deployed across premium mall retail and standalone stores in the Gulf, where multi-property visibility and demographic intelligence are operational priorities. In the UK, the platform delivers footfall analytics, conversion tracking, and loss prevention for retailers navigating declining footfall and rising operational costs. In South Africa, JARVIS addresses commercial analytics and loss prevention from the same cameras, a particularly compelling combination for the South African retail market. In all five geographies, the platform is camera-agnostic, activates on existing retail infrastructure, and requires no hardware replacement.
Smarter stores start with smarter cameras. Experience JARVIS in action. Book a Demo.