Eyrene was built around a simple insight: retail execution is hard to measure because shelf conditions change constantly and manual audits are slow, subjective and expensive. Its mobile app puts real-time image recognition in the hands of sales reps and merchandisers, so every store visit produces objective, timestamped data instead of a checkbox. The system recognizes products, price tags, promotions, equipment and POS materials in one to two seconds on everyday smartphones, even without an internet connection.
Recognition results feed a KPI engine that computes the metrics field teams and brand owners care about most, from share of shelf and on-shelf availability to brand blocks and planogram compliance, with custom KPIs available through Professional Services. A web portal gives headquarters full control over stores, routes, tasks, questions and users, while embedded PowerBI dashboards make the data visible without requiring a PowerBI license. Rich integrations and an API support server-to-server, mobile and file-exchange scenarios.
Eyrene is designed to scale from pilot to nationwide rollout, and the company reports projects covering tens of thousands of retail outlets with SKU accuracy above 95%. Pricing is refreshingly transparent for enterprise computer vision: a per-visit rate starting at $0.19 with unlimited images and users, so budgets scale with actual audit volume rather than fixed licenses.