Contact company icon Add as a preferred source Download PDF version
Summary is AI-generated, newsdesk-reviewed
  • Nedap's AI Smart Mode enhances loss prevention by focusing on significant incidents in retail.
  • The new AI feature improves resource allocation by filtering out noise and prioritizing actionable events.
  • Nedap's system evolves with user feedback, boosting prioritization accuracy for retail crime response.

Nedap has unveiled AI Smart Mode, a significant advancement in its loss prevention solution designed to help retailers identify and focus on the most consequential incidents. By narrowing the focus to fewer yet more significant events, the update enables speedier investigations and optimizes resource allocation throughout store networks.

Amidst growing in-store visibility, retailers face the challenge of discerning which loss prevention signals necessitate attention. With an increase in alerts, the challenge lies in recognizing which incidents bear the most importance.

Enhancing Incident Response

"Visibility is still a challenge for many retailers, but even those who have it often struggle to know where to act," stated 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." By concentrating on fewer, more crucial incidents, Nedap enables swifter investigations, cutting down on investigation time, and promotes a more effective distribution of resources across outlets.

AI Smart Mode autonomously assesses incoming data, filtering out unnecessary information and highlighting incidents probably associated with organized retail crime (ORC) and significant financial ramifications. The AI models are not restricted to isolated store environments but are trained across the larger retail ecosystem, facilitating the detection of both internal and external theft. This feature allows loss prevention teams to transition from reactive practices to more proactive, faster decision-making processes.

Boosting Prioritization Accuracy

The new upgrade is crafted to integrate effectively within existing iD Cloud LP workflows

The new upgrade is crafted to integrate effectively within existing iD Cloud LP workflows, demanding minimal setup while providing immediate tangible benefits. As it continually learns from user feedback and the results of incidents, the system's prioritization precision improves progressively over time.

"Retailers are under increasing pressure to respond faster and more precisely to retail crime," said Hilbert Dijkstra, Managing Director Retail at Nedap. "AI Smart Mode helps loss prevention teams focus their attention where it has the greatest impact. It's another step in helping retailers move from reactive processes to smarter, more proactive operations."

Nedap's AI Smart Mode exemplifies its ongoing dedication to assisting retailers in staying ahead of progressively complex retail crime schemes by fostering intelligent prioritization and more rapid responses across store operations.

In case you missed it

Responsible AI Adoption Starts With Governance
Responsible AI Adoption Starts With Governance

The eagerness to adopt AI in physical security is increasing as teams want to implement technology solutions for faster, smarter operations. At the same time, the conversations sur...

How AI-Enabled Cameras Are Becoming Operational Sensors That Power Safety, Automation, And Business Intelligence
How AI-Enabled Cameras Are Becoming Operational Sensors That Power Safety, Automation, And Business Intelligence

The biggest return on investment from an AI-enabled camera might have nothing to do with security. Organizations are increasingly discovering that the same cameras installed to pro...

Solink's AI Agents Boost Efficiency Of Existing Infrastructure With Automation
Solink's AI Agents Boost Efficiency Of Existing Infrastructure With Automation

Deploying artificial intelligence (AI) tools should be seen as a business initiative rather than a technology initiative, says Martin Soukup, CTO of Solink, a cloud-based video sec...