Loading
Cameras, POS and store systems produce more data than any team can watch. Yugensys engineers the systems that turn that footage and data into loss prevention, store analytics and workflows that act.
Production systems for loss prevention, video intelligence, store analytics and customer intelligence - computer vision and data engineering built into store operations, with validated alerts, governed analytics people can trust, and workflow automation that acts on what the data shows.
A store already records what happens - on camera, at the POS, across inventory and operations systems - but footage is reviewed after the loss, analytics live in separate tools, and the people running the floor get signals too late to act on them.
Yugensys engineers retail intelligence as one system: detection tuned to real store conditions, alerts validated before they interrupt anyone, store and customer data engineered into one governed picture, and workflows that route what matters to the people who can act - while it still matters.
Select a problem to see what Yugensys engineers for it. Every response is a production system, not a model file.
Shrink and loss events detected and routed for action - not discovered at stocktake.
Store footage turned into operational signals people can query and act on.
Store, inventory and operational data engineered into one picture.
Behavior and demand signals engineered into decisions - on governed data.
Store workflows that act automatically on what video and data reveal.
Capability map: every capability as an engineered system.
One store, three disciplines working inside one system.
Computer vision and detection engineered for store conditions - loss prevention and operations intelligence with validation and human review.
Store, inventory and customer data engineered into one operational picture - governed, trusted and queryable.
The alerting, review and workflow experiences that turn signals into store actions.
Retail engagements run through the ten-stage Yugensys Engineering System - from understanding the store's problem to evolving the system in operation.
See how we engineer↺ 10 Evolve → 01 DiscoverA loop, not a line
As an engineered system, not a camera demo: detection tuned to the store's lighting, layouts and event types; validation and confidence thresholds before an alert reaches anyone; review queues with evidence attached; and integration with POS and store systems so events carry their context.
By treating alert quality as an engineering requirement: detections are validated against confidence thresholds, uncertain cases go to review queues instead of the floor, and alert outcomes are fed back to tune detection - so the system earns the team's trust instead of training them to ignore it.
That is what the data platform is for: store, inventory and operational data are engineered into one governed model with consistent definitions, so every location reports into the same picture - and comparisons, rollups and exceptions are engineering outputs, not spreadsheet exercises.
Yes - integration is part of the system design: video and data intelligence read from and write back into POS, inventory and operations systems through engineered APIs and workflows, strengthening the systems the stores already run on.