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NWarchAI delivers real-time theft detection, people counting, and queue monitoring - running on your existing cameras. No cloud. No rip-and-replace.
Projected global retail shrinkage losses in 2024 - up 18% from $112B in 2022
Increase in average shoplifting incidents reported by retailers from 2019 to 2023
Retail shrinkage incidents are caused by employee theft - the second largest source of inventory loss after external theft
Real-time footfall per zone, aisle, and store entrance - track customer flow and staff deployment needs
Monitor live zone occupancy and alert staff when queues, aisles, or fitting rooms exceed thresholds
Automatically log all vehicle plates at parking and delivery zones - eliminate manual access logs
Restrict stockroom, cash office, and back-of-house access to authorized personnel only
Detect unauthorized presence in store after closing - sub-second alert to security teams
Monitor shelf stock levels and detect removal events in real time from existing cameras
Log all staff and visitor movements across entry points - enforce compliance with access policies
Structured data protection by design. All processing on-edge, completely air-gapped from cloud environments.
Facial recognition disabled by default. Faces and PII are blurred at source before any processing — compliant with GDPR Article 5(1)(c) data minimisation.
ISO 9001:2015, ISO/IEC 27001:2022, and ISO/IEC 20000-1:2018 enterprise security certified.
Raw imagery instantly deleted in memory buffers. Only small encrypted textual safety metadata events transmitted to local alarm endpoints.
Secure your assembly lines with localized, GDPR-native intelligent vision modules
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