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Buyer's Guide · Retail · India

Best AI Video Analytics for Retail Stores in India (2026)

The best retail AI video analytics for India in 2026 are IndoAI, RetailNext, Sensormatic, Everseen, Trigo, Wobot.ai and Agrex.ai. IndoAI leads for retailers wanting footfall, queue and theft analytics on their existing store cameras with data kept in India; the specialists lead on enterprise footfall, loss prevention and checkout-free formats.

IndoAI Editorial Desk · 12 Aug 2026 · 9 min read

A retail camera is a business-intelligence sensor in disguise. AI video analytics turns it into footfall and conversion data, dwell heatmaps that reshape merchandising, queue alerts that open tills before customers walk, and shrinkage and theft detection that protects margin. The platforms below split into all-round edge systems and category specialists — the right pick depends on whether your priority is store analytics, loss prevention, or checkout innovation.

What retailers need — and how we ranked

FOOTFALL & CONVERSION — counting, capture rate, zone dwell, heatmaps
QUEUE MANAGEMENT — real-time till/queue alerts
LOSS PREVENTION — theft, shrinkage, till exceptions
RETROFIT + RESIDENCY — runs on existing cameras, data in India?
BEST-FIT — the retail job each is built for.
Rank 01 — Best all-round edge retail analytics

IndoAI

Edge · footfall + queue + theft · retrofit · India residency

IndoAI runs footfall counting, zone dwell, queue alerts and theft/suspicious-behaviour detection on an on-site Edge Box fed by your existing store cameras — so you get store analytics and loss prevention in one, with 65+ models and all data kept in the store and in India. Alerts (long queue, intrusion after hours, suspicious activity) reach staff in seconds. For single stores and chains that want practical, private, all-round analytics without new sensors or a cloud contract, it's the strongest fit.

BEST FOR Footfall + queue + theft on existing cameras; data on-site
DEPLOYMENT On-premise edge appliance
WATCH-OUT All-rounder vs a single deep specialism
Rank 02 — Best enterprise footfall & traffic analytics

RetailNext

In-store traffic analytics · benchmarking

RetailNext (US) is a leader in in-store traffic and shopper analytics, with mature footfall, conversion and benchmarking used by large retail chains to optimise stores. Its analytics depth and reporting are excellent for enterprise merchandising teams. It's a specialised analytics platform — evaluate its sensor/camera requirements, cost and where data is hosted for Indian stores.

BEST FOR Enterprise footfall & shopper analytics
DEPLOYMENT Sensors / cloud analytics
WATCH-OUT Analytics-specialist; hosting/cost review
Rank 03 — Best retail loss prevention incumbent

Sensormatic (Johnson Controls)

Loss prevention · ShopperTrak analytics

Sensormatic (Johnson Controls) is the long-standing retail incumbent, combining loss-prevention hardware, Shrink Analyzer and ShopperTrak traffic analytics into an enterprise suite trusted by major retailers. Strong pedigree in shrink and traffic. It's an enterprise ecosystem investment; scope integration and cost for your footprint.

BEST FOR Enterprise loss prevention + traffic analytics
DEPLOYMENT Hardware + analytics suite
WATCH-OUT Enterprise ecosystem; cost
Rank 04 — Best checkout shrinkage detection

Everseen

AI at the till · self-checkout shrinkage

Everseen (Ireland) specialises in AI that watches the point of sale and self-checkout to catch scan avoidance, sweet-hearting and shrinkage in real time — a focused, powerful tool for grocery and big-box loss prevention. It's deep in one area rather than a broad store-analytics platform, so pair it with footfall analytics if you need both.

BEST FOR Checkout / self-checkout shrinkage
DEPLOYMENT AI at POS
WATCH-OUT Loss-prevention specialist, narrow scope
Rank 05 — Best checkout-free format

Trigo

Autonomous · grab-and-go stores

Trigo (Israel) enables checkout-free, grab-and-go stores with ceiling-camera vision that tracks what shoppers pick up and charges automatically. It's cutting-edge for new autonomous store formats. It's a premium, infrastructure-heavy build for a specific format, not a retrofit for a conventional store's cameras.

BEST FOR New autonomous / checkout-free stores
DEPLOYMENT Dense camera build + cloud
WATCH-OUT Format-specific; high cost
Rank 06 — Best retail SOP & operations

Wobot.ai

SOP compliance · store operations

Wobot.ai (India/US) focuses on store operations and SOP compliance — hygiene, task checklists, process adherence — over existing cameras, popular with QSR and retail chains. For operational consistency it's a good fit. For core footfall, queue and theft analytics with on-site processing, compare against IndoAI.

BEST FOR Retail / QSR SOP and operations
DEPLOYMENT Cloud / hybrid
WATCH-OUT Ops-led more than analytics/LP
Rank 07 — Best India edge vertical option

Agrex.ai

India edge analytics · retail use cases

Agrex.ai (India) offers edge analytics covering retail use cases such as footfall and queue. It's a domestic option worth evaluating; compare its retail-model breadth, retrofit flexibility and residency handling directly against IndoAI for a store rollout.

BEST FOR India edge analytics for retail
DEPLOYMENT Edge analytics
WATCH-OUT Compare breadth vs alternatives

Side-by-side comparison

PlatformFootfallLoss preventionRetrofit existing camerasData in IndiaBest for
IndoAIYesYesYesFullAll-round edge analytics
RetailNextDeepSomeSensors/streamsReviewEnterprise footfall
SensormaticYesDeepSuiteReviewEnterprise LP + traffic
EverseenNoCheckoutAt POSReviewShrinkage at till
TrigoTrackingBuilt-inNew buildReviewCheckout-free
Wobot.aiSomeSomeYesReviewSOP / operations
Agrex.aiYesSomePartialIndiaIndia edge option

Assessment reflects typical India deployments in 2026. Verify current specifications and data-handling with each vendor.

Choosing for your stores

If you want one platform that measures footfall and queues and catches theft on the cameras you already have — with data staying in the store and in India — an edge system like IndoAI is the efficient core. Go deeper with a specialist when a single problem dominates: RetailNext or Sensormatic for enterprise footfall and shrink programs, Everseen for checkout shrinkage, Trigo if you're building checkout-free. Many chains run an all-round edge layer per store and layer a specialist where the ROI is clear. Where customer-counting data is involved, keep it on-site and anonymised.

Turn store cameras into store intelligence

Footfall, queue alerts and theft detection on your existing CCTV — one edge box, data on-site. Describe your store with the AI Solution Advisor for an itemised bill of quantities, or see the Edge Box.

Scope my stores →

Frequently asked questions

What can AI video analytics do for a retail store?
It turns store cameras into a data source: counting footfall and conversion, mapping dwell and heatmaps to optimise layout, measuring queue length to open tills in time, and detecting theft, shrinkage and suspicious behaviour. On the edge, these run on existing cameras with real-time alerts.
Which is the best retail video analytics platform in India?
For Indian retailers that want footfall, queue and theft analytics on existing store cameras with data kept in India, IndoAI leads. RetailNext and Sensormatic are strong for enterprise footfall and loss prevention; Everseen specialises in checkout shrinkage; Trigo in checkout-free stores.
Can it measure footfall and conversion with my current cameras?
Yes. A retrofit edge platform like IndoAI counts people entering and passing zones from existing camera streams, so you can track footfall, capture rate and conversion without new sensors — and see dwell heatmaps to improve merchandising.
Does AI help reduce retail shrinkage and theft?
Yes. AI flags suspicious behaviour, sweet-hearting at tills, and unusual movement, and pairs footage with till events for faster investigation. Dedicated loss-prevention vendors like Everseen and Sensormatic focus here; edge platforms like IndoAI add theft alerts alongside footfall and queue analytics.
Is store and customer data kept private?
With an on-premise edge platform, footage and analytics stay in the store and in India, which helps with privacy and data-residency expectations. Cloud analytics send data off-site, so verify storage location and anonymisation for customer-counting use cases.
IndoAI Editorial Desk
Edge AI & video analytics research. We build on-premise AI that turns existing retail CCTV into store intelligence and security, with full India data residency. Vendor assessments are our own; verify current specs and data-handling with each provider.