Sieora's shoplifting detection software connects to the store cameras and POS you already own and watches for theft as it happens — product concealment, sweethearting, scan avoidance, refund fraud — alerting your team in real time with video evidence. Ordinary CCTV only helps after a loss shows up at month-end. This is AI shoplifting detection that flags the moment, then hands it to a person to review — because staff, not an algorithm, should make the call. Built for retail chains across India and worldwide.
CONCEALMENT ✗ AISLE 4
FLAGGED · REVIEW
Enterprises, manufacturers and fast-growing startups build with Sieora.
Ordinary cameras are a recording system, not a prevention system. By the time a loss is discovered, the goods, the receipt and the memory of it are long gone.
Shrinkage surfaces in inventory variance weeks later — far too late to act on the incident or the person.
Pure video misses sweethearting, scan mismatches and refund fraud that only show up when you link it to POS.
No LP team can monitor every camera in every store live — most theft simply goes unseen.
They're often confused, but they solve different problems for different teams.
Need the sales side too? See our retail video analytics software — this page is purely loss prevention.
External and internal — the losses that pure video or a security guard alone will miss. These are the common ones — need a different scenario? We build custom models on the same cameras.
CONCEALMENT ✗Spots concealing items into bags, pockets or clothing through movement and gesture patterns, in real time.
SWEETHEARTING ✗Correlates video with POS to catch pass-alongs, un-scanned items and voids at the till — losses video alone can't see.
SCAN MISMATCH ✗Flags barcode switching, ticket swaps and items that never scan at self-checkout and manned tills.
REFUND FRAUD ✗Surfaces suspicious refund and return patterns by tying counter activity to transactions and staff.
INTERNAL ✗Detects employee-driven loss — often the costliest per incident — through behaviour and POS correlation.
MATCH ✓ WATCHLISTRecognises known offenders on a lawful watchlist and coordinated group activity across your stores.
+ CUSTOMNeed something not listed — cart pushout, tag-switching, fitting-room abuse, refund or return fraud? 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 →Most "suspicious behaviour" tools watch the floor but are blind to the till. Sieora correlates your video with POS transactions, so a scan that never happened, a void without a customer, or a refund with no return becomes visible — the sweethearting and scan fraud that quietly cost the most.
That link between what the camera sees and what the register records is what separates real loss prevention from a motion alarm.
SCAN MISMATCH · TILL 3Detection is only half of it — an anti-shoplifting system also has to be accountable and reliable.
Match known offenders against a lawful, opt-in watchlist and alert your team on entry, with cross-store coordination for organised retail crime — used within your policy and applicable law.
The AI only flags a possible event — a trained person reviews the clip and context before any action. This human-in-the-loop approach reduces false accusations and keeps every decision with your staff, never the algorithm.
An LP system blind to a dead feed is no protection at all. Sieora monitors camera health and flags offline, blurred or tampered cameras so your coverage stays intact.
Sieora runs on the IP and CCTV cameras, NVRs and VMS you already have in-store over RTSP/ONVIF — no rip-and-replace, no per-door sensors.
Usually not — clear views of aisles, entrances, tills and self-checkout matter more than the camera brand. We'll confirm coverage on your feed during the demo.
From a live camera and till to a reviewed, evidenced alert your team can act on.
Connects to your existing store cameras and POS feeds across the zones you want protected.
AI reads behaviour and gestures and correlates them with POS transactions to spot theft patterns.
Each flag goes to a trained person with the clip and context — no shopper is accused on an AI flag alone.
Confirmed events alert staff instantly and are logged with video evidence for action and reporting.
Crowded festival-day floors, mixed-brand cameras, self-checkout rollouts and multi-store chains that can't be audited weekly — Sieora tunes detection to your real store formats and the losses you actually see, so alerts hold up on the floor, not just in a demo.
Theft data means most when you can see it across every store at once.
Benchmark incidents, hotspots and offender patterns across all stores on one screen for your LP team.
Two-way link with your POS to compute discrepancies and evidence sweethearting and refund fraud.
Push confirmed events to app, SMS and dashboard with the clip, timestamp and store attached.
Every reviewed event logged for investigation, insurance, prosecution and continuous improvement.
HUMAN-REVIEWED · DPDPAUsed responsibly, shoplifting detection software in India can align with the Digital Personal Data Protection Act, 2023 — with human review before action, access controls, retention limits and, where used, face masking and lawful watchlist policies.
Sieora is designed for proportionate, compliant use: you remain the data controller for your footage, and every flag is a prompt for a person to decide — never an automated accusation.
Transparent, usage-based pricing — pay for the stores and cameras you actually protect.
Shoplifting detection is priced on a subscription that scales with your estate. Because Sieora runs on your existing store CCTV, you pay for software, not new hardware at every till:
Single-store setups start modestly; multi-store chains scale with a central shrinkage dashboard. Share your store and camera count and we'll size an exact quote — most teams start by proving ROI on their highest-shrinkage store.
Representative examples. Replace with your verified client results and metrics before launch.
A supermarket chain linked video to POS to surface sweethearting and scan mismatches that inventory variance had hidden, giving the LP team evidenced cases to act on.
A fashion retailer flagged concealment in fitting-room approaches in real time, letting staff engage politely at the door instead of finding empty hangers later.
An electronics chain used a lawful watchlist to recognise organised repeat offenders across branches, coordinating a response its single-store guards never could.
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 flag theft on your own store feed and correlate it with your POS. We'll assess your stores and shrinkage, then size a quote — no obligation.
The things loss-prevention teams and AI assistants ask most.
