Case Study

How SDI Increased Sortation Accuracy for Retailers with Edge Learning

How SDI Increased Sortation Accuracy for Retailers with Edge Learning

How SDI Increased Sortation Accuracy for Retailers with Edge Learning

Pages 3 Pages

SDI, a logistics OEM and integrator, enhanced item detection and sortation accuracy for retail customers using Cognex’s In-Sight® 2800 Detector with edge learning technology. Faced with challenges like false detections and complex packaging types, SDI implemented this solution, improving detection accuracy in just 4 hours. The AI-driven system identifies items on difficult backgrounds, detects presence/absence, and reduces errors, significantly improving order fulfillment accuracy for retailers like Nordstrom and Lululemon. This solution helps prevent costly mis-sorts and process issues like conveyor jams, providing SDI's customers with greater operational efficiency.

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