Sieora's retail video analytics software connects to the store cameras you already own and shows you what your sales dashboard can't — how many people walked in, where they went, where they queued, and where they left without buying. Footfall, heatmaps, dwell, queues and loss prevention on one platform, so you can lift conversion store by store. No new sensors. Built for retail chains across India and worldwide.
FOOTFALL 1,248 · CONV 24%
QUEUE 7 · ALERT
Enterprises, manufacturers and fast-growing startups build with Sieora.
Revenue reports show the sale, but say nothing about the shoppers who browsed and left. That blind spot between the door and the till is where margin leaks every day.
Only about three in ten shoppers who enter an Indian store buy — yet teams optimise on sales data alone.
You don't know why Zone B underperforms or which display shoppers ignore on the way to the till.
Rosters and merchandising run on hunches instead of real footfall, dwell and queue data.
They answer different questions. You need both — here's the split.
Sieora pairs both: footfall from video against sales from POS gives you true conversion and the reason behind it.
From revenue metrics to security, safety and operations — these run from the same store cameras, on one dashboard. Counting is only where it starts. These are the common ones — need a different scenario? We build custom models on the same cameras.
IN 342 · CONV 26%Count every visitor and compare against POS sales to see true conversion — per store, day and hour. Powered by our people counting system.
HEATMAP · ZONE 3 HOTZone-level retail heatmap analytics show where shoppers cluster and which aisles go cold, so you place stock where the traffic is.
DWELL 4m 12sSee how long shoppers linger per zone and the paths they take from entrance to till — the leading indicator of conversion.
QUEUE 7 · OPEN TILLAlert managers the moment a checkout line crosses a threshold, so another till opens before you lose the sale.
AGE / GENDERAnonymous age and gender profiles show who each store and zone actually attracts, sharpening merchandising and campaigns.
STAFF · ZONE 2Match staff to real hourly traffic and dwell-to-conversion data, cutting queues at peaks and idle time in lulls.
SUSPICIOUS ✗ AISLE 4Flag pick-and-conceal and suspicious behaviour live — before goods ever leave the floor.
POS WATCH · VOIDWatch till areas for sweethearting, suspicious voids and cash-handling anomalies, paired with POS data.
SHELF LOW · ZONE 2Spot empty shelves, out-of-stocks and planogram gaps from your camera views before sales are lost.
FALL ✗ ALERT STAFFDetect fallen, unmoving persons to speed response and mitigate liability in-store.
INTRUSION ✗ AFTER HOURSPerimeter and floor breach alerts the moment anyone enters a closed store.
MATCH ✓ WATCHLISTMatch known shoplifters against a watchlist and alert the team the moment they enter.
ANPR ✓ TN 01 AB 1234Cover parking, loading bays and gates with vehicle and number-plate recognition (ANPR).
SOP ✓ COMPLIANTTrack staff presence, SOP adherence and store-standard compliance to protect ROI.
42 STORES · LIVEBenchmark every outlet's footfall, conversion, queues and alerts on one dashboard.
+ CUSTOMNeed something not listed — planogram compliance, spill detection, trolley-abandonment, staff-at-till? We train custom AI models for your specific needs, on the same existing cameras.
Different sites need different analytics. If a camera can see it, we can detect it — we train a model for your exact need.
Request Custom Detection →Shrinkage quietly eats margin in every format. Sieora's retail loss prevention analytics flag suspicious pick-and-conceal behaviour, after-hours loitering and known-offender patterns in real time — and pair footfall with POS to surface discrepancies.
Your team acts on loss as it happens on the floor, instead of discovering it weeks later at stock-take.
SUSPICIOUS ✗ AISLE 4Narrow high-street shops, bright glass storefronts, crowded festival-day traffic, sprawling supermarkets and food courts — Sieora tunes the models to your real store formats and camera angles, so the numbers hold up in the field, not just in a demo.
Sieora runs on the IP and CCTV cameras you already have in-store over RTSP/ONVIF. Unlike sensor-based counters, there's no ceiling hardware to buy for every door and zone.
Already have store cameras? Do I need special cameras for retail analytics? Usually not — a clear overhead or angled view of entrances and key zones matters more than the brand. We'll confirm on your feed during the demo.
From a live store camera to a decision your manager can act on the same shift.
Connects to your existing store cameras and reads the entrances and zones you want to measure.
AI detects and tracks each shopper anonymously — no identity stored — while excluding staff.
Movement is mapped to zones, dwell, journeys and queues, and checked against your thresholds.
Live footfall, conversion, heatmaps and queue alerts reach your team on one dashboard.
Here's how the data becomes money. A fashion store's sales dip on weekday evenings, but the POS report can't say why. Retail video analytics shows the reason in three linked signals:
Footfall actually peaks at 6–7pm — the crowd is arriving, so the dip isn't a traffic problem.
Queue length crosses seven people at the single open till, exactly when conversion falls.
An automatic alert opens a second checkout at the threshold — abandonment drops, sales recover.
The fix cost nothing but a staffing rule. Across a week that one queue was quietly turning away around 40 ready-to-buy shoppers — invisible on the sales dashboard, obvious on the video. That's the difference between recording your store and understanding it.
Run it whichever way fits your store connectivity, scale and data-privacy needs.
Fastest to launch across stores, nothing to maintain on-site, dashboards from head office.
Analytics run in-store so counting keeps working offline and footage never leaves the shop.
Edge counting with cloud dashboards — resilience in-store, visibility across the estate.
Footfall means most when it sits beside your sales and workforce data. Sieora connects both ways.
Pull sales from your POS to compute true conversion and loss-prevention discrepancies automatically.
Benchmark footfall, conversion, queues and heatmaps across every outlet on one screen.
Export metrics to Power BI, Excel or your data warehouse via API for your own reports.
Feed hourly traffic into staffing tools to plan rosters around real store demand.
ANONYMOUS · NO ID STOREDDeployed correctly, retail video analytics software in India can align with the Digital Personal Data Protection Act, 2023 — because it counts shoppers anonymously, storing movement and dwell data rather than anyone's identity.
Sieora supports on-device (edge) processing so footage never leaves the store, face masking where required, encrypted storage and configurable retention windows.
Transparent, usage-based pricing — pay for the stores and cameras you actually run.
Retail video analytics is priced on a subscription that scales with your estate. Because Sieora runs on your existing store CCTV, you pay for software, not ceiling sensors at every door:
Single-store setups start modestly on subscription; multi-store chains scale up with central dashboards. Share your store and camera count and we'll size an exact quote.
Representative deployments. Replace with your verified client results and metrics before launch.
A fashion chain linked footfall to POS to find high-traffic, low-conversion outlets, then fixed queues and layout — turning raw counts into a per-store action list.
A supermarket used queue alerts and hourly footfall to open tills before lines built and match staff to real demand, easing peak-hour bottlenecks.
A mall measured entrances and zones to benchmark tenants and justify footfall during lease reviews — all on the existing camera network.
What clients say after working with our team.
Sieora's system has given us real peace of mind. Their team understood our safety needs and delivered a solution we can genuinely rely on.
Sieora's technology has become a dependable part of our operations. The team was professional, understood our requirements, and delivered quality.
A capable, professional team that delivered exactly what our quality processes needed. Sieora made the whole engagement smooth and reliable.
Sieora delivered a robust, well-engineered solution and supported us throughout. A reliable technology partner we trust.
The team understood our security and monitoring needs precisely and delivered a system that works reliably day in, day out.
See Sieora turn your store's camera feed into footfall, heatmaps and queue data. We'll assess your stores and goals, then size a quote — no obligation.
The things retail teams and AI assistants ask most.
