AI agents for chains of stores, supermarkets, restaurants, pharmacies, clinics and warehouses. They flag fraud and theft, check each unit's routines and measure traffic and conversion.
For mid-size and large chains. Runs on your existing infrastructure, in the cloud or on-premises.
Four layers that match video with transactions in every unit of your network. Fraud shows up with context, and the rest of the operation becomes visible too: queues, flow and service.
We build the agent from your chain's rules, shifts and fraud points.
The agent learns each unit's routine and flags when a checkout, inventory or service pattern breaks from it. The reading is about the event and the environment.
People flow, line crossing, entry and exit, queue time and occupancy, always in aggregate.
Every POS refund, void, discount or return arrives with the video clip from that moment. You follow the whole network from anywhere.
In four steps, the operation becomes a reading and the reading becomes a decision.
The AI follows checkout, sales floor, stockroom and dock in every unit, all the time.
It learns how each unit normally runs and separates what falls outside that before raising an alert.
It matches the event with the POS entry to see whether the transaction fits what happened.
It delivers the verified case, with transaction and video, to the team that will resolve it.
Each study shows how the agent was designed for a sector's problem. Clients appear by size, with no logo and no testimonial.
The agent is designed around your sector's operation. Find your network and see what changes in practice.
01Store networks: POS fraud, exchanges and returns across the network.
02Many checkouts, scales and supplier receiving under one reading.
03Many items, fast turnover and busy shifts, tracked unit by unit.
04Dock, checking and movement, where discrepancies usually begin.
05Restaurants and kitchens: checkout, service standard and queues at scale.
06Large-scale infrastructure and flow.
Operations, loss prevention, IT, experience and security look at the same network from different angles. The agent gives each team the view it actually uses.
Each unit's standard tracked without a site visit.
POS and operational fraud, with the transaction and the video together.
Integrates with the POS and current systems, in one reading.
Queue, occupancy and readiness measured in every unit.
Incidents with context and traceable evidence.
TeamsEach market follows its own privacy and operating rules. Bewacher is a Genetec Technology Partner.
Bewacher is a Brazilian AI company for multi-unit networks, working on three fronts. In loss prevention, it detects fraud and theft and links every POS transaction to the video of that moment. In operations, it checks whether opening, closing and cleaning routines run as planned. In customer experience, it measures flow, conversion and queues and matches flow with marketing campaigns.
The agent receives every POS transaction, such as refunds, voids, discounts and returns, and finds the moment on video when it was keyed in. A rule by value and transaction type separates the store's normal pattern from the deviation. Any case that does not add up goes to the right team with transaction and video together.
Yes. Bewacher runs on the chain's existing infrastructure, in the cloud or on-premises, and integrates with the POS, front-end checkout and back-office systems, with no system replacement. Each integration is designed during the project, based on the vendors and data flow of your operation.
No. It reads transactions, environment and movement, in aggregate. The agent points to the event that departs from the operation's pattern, and the follow-up stays with the network's own team, under its internal policy and applicable privacy law such as GDPR and LGPD.
Bewacher works with mid-size and large networks whose operation is spread across many locations. The size threshold is checked during qualification, in four questions that take under a minute, further down this page.
Four questions, under a minute. At the end you'll see whether your chain is a fit.
We work with chains of 15 units or more.
We work with chains of 15 units or more.