Everseen’s Evercheck is more than a loss-prevention tool; it is a living AI system that transforms everyday checkout video into strategic insight. Its federated-learning backbone ensures that every retailer benefits from collective intelligence, while its edge-cloud architecture balances privacy, latency, and cost.
Real-Time Checkout Monitoring
As a customer scans items, Evercheck overlays a privacy-compliant skeletal wireframe to track hand and product motion. If the system detects a mismatch (e.g., expensive steak moved past the scanner but no barcode read), it triggers a gentle nudge: a subtle on-screen prompt or an audio cue (“Please scan the last item”). This frictionless intervention reduces false-positives that plague legacy systems, cutting unnecessary staff interventions by 60 %.
Self-Checkout Guardian
Self-checkout lanes are the fastest-growing shrink vector. Evercheck’s SCO Guardian module runs on the same edge box and adds an extra layer of AI: it cross-checks item weight against PLU codes, recognizes produce mis-selection (organic vs. conventional avocados), and even spots “pass-around” fraud where two shoppers swap baskets mid-transaction. When confidence exceeds 95 %, a high-resolution snapshot is sent to the attendant’s handheld via REST, complete with a 5-second video clip and a suggested script (“Customer may have missed scanning the bottle of wine”).
Back-Office Analytics Suite
Beyond real-time alerts, Evercheck aggregates daily performance into an intuitive dashboard. Retailers can drill down to hour-level shrink curves, correlate incidents with staffing levels, and benchmark each store against the federated average. Exportable APIs feed these insights into ERP or BI tools, enabling finance teams to quantify loss-prevention ROI down to the SKU.