Closing the gap between store reality and digital intelligence

Modern stores face a constant tug-of-war between loss prevention, customer experience, and operational efficiency. When retailers prioritize one, they often inadvertently trigger problems in another. With self-checkout now handling 54% of transactions, the ambiguity of non-scans—which industry estimates attribute to anything from mere confusion to deliberate theft—has become a primary friction point. Everseen’s Evercheck platform attempts to resolve this by integrating vision AI with transaction data, allowing systems to interpret events before a sale is finalized.

Rather than relying on blunt security measures that frustrate shoppers or manual interventions that overwhelm staff, the technology follows a detect-nudge-alert sequence. Data suggests this approach is effective: alerts are generated in only 3% to 10% of transactions, with shoppers self-correcting in up to 97% of those cases. This reduces the need for confrontational staff involvement, a critical consideration given that the British Retail Consortium’s 2026 report recorded approximately 1,600 daily incidents of violence or abuse against retail workers.

Beyond the checkout, the model of observe, interpret, act, and learn is being scaled across entire estates. Everseen systems currently process over 15 million transactions daily across 10,000 stores. This scale allows retailers to transition from isolated pilot programs to a data-driven environment where inventory systems, workforce management, and security responses work in concert. According to a 2024 study by Forrester Consulting, such integration can yield a 374% return on investment over three years, proving that the future store is not about replacing existing infrastructure, but layering intelligence over what retailers have already built.