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Nedap’s AI Update to Prioritize High-Impact Retail Crime Incidents

AI Smart Mode automatically evaluates incoming events to filter out noise and surface incidents linked to (ORC) and high financial impact.

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By: Rachel Klemovitch

Assistant Editor

Nedap, a global leader in item-level visibility, introduces AI Smart Mode: a major update to Nedap’s loss prevention solution that helps retailers focus on the incidents that matter most. 

By helping teams focus on fewer, more meaningful incidents, Nedap enables faster investigations, reduced investigation time, and more effective allocation of resources across stores.

“Visibility is still a challenge for many retailers, but even those who have it often struggle to know where to act,” said Andrew Lipof, Director of Loss Prevention & ORC Strategy at Nedap. “With AI Smart Mode in iD Cloud LP, we help teams focus on the incidents that matter most and act on them faster.”

AI Smart Mode automatically evaluates incoming events to filter out noise and surface incidents most likely linked to organized retail crime (ORC) and high financial impact. 

The AI is trained across the broader retail ecosystem and is embedded throughout iD Cloud LP to support the detection of internal and external theft. This enables loss prevention teams to move beyond reactive monitoring and make faster, more proactive decisions. 

The update is designed to integrate seamlessly into existing iD Cloud LP workflows, requiring minimal configuration, and deliver immediate value. By continuously learning from user feedback and incident outcomes, the system becomes more precise over time, further improving prioritization accuracy.

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