The in-store telemetry blackout costing retailers billions
How real-time payment telemetry and AI can prevent costly in-store checkout failures.
In-store telemetry blackouts are causing substantial financial losses for retailers. Major enterprises possess extensive monitoring capabilities, tracking API response times and digital customer journeys. However, on the high street, this illusion of total operational awareness breaks down. Payment terminals may freeze, causing long lines at cafe counters and shoppers abandoning their purchases.
At corporate headquarters, monitoring dashboards appear normal, unaware of the actual issues. In the UK alone, checkout failures result in an estimated £1.7 billion in annual sales at risk. The problem stems from the intersection of security compliance and legacy monitoring tools. Payment card information is protected by strict network isolation under the Payment Card Industry Data Security Standard.
Point-of-sale software and hardware are confined within hardened, encrypted subnets, creating an operational dead zone where visibility is lost. Standard IT tools cannot monitor transactions as they travel through local hardware, store routers, and third-party gateways. The seven-minute window for IT support to diagnose and resolve incidents is significantly longer than the patience threshold of shoppers, who abandon purchases after seven minutes.
Current IT incident resolution times of over an hour are far slower than the seven-minute window for shopper patience. Streaming telemetry offers the necessary visibility, but AI can further enhance monitoring by analyzing performance degradation patterns and enabling closed-loop remediation. By combining privacy-safe telemetry with AI, retailers can unlock real-time payment telemetry, prevent blind spots, and avoid lost revenue.
Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
