loss prevention
18 articles about loss prevention in AI news
Computer Vision Is Transforming Retail Loss Prevention
The article discusses the growing adoption of computer vision systems in retail to prevent theft, manage inventory, and enhance store security. This represents a direct application of AI to a long-standing, costly industry problem.
Edge AI for Loss Prevention: Adaptive Pose-Based Detection for Luxury Retail Security
A new periodic adaptation framework enables edge devices to autonomously detect shoplifting behaviors from pose data, offering a scalable, privacy-preserving solution for luxury retail security with 91.6% outperformance over static models.
Alpha Vision Unveils AI Security Agent at RILA Asset Protection Conference 2026
Alpha Vision showcased an AI agent for retail security at the RILA Retail Asset Protection Conference 2026. The announcement highlights the growing integration of autonomous AI systems into physical retail loss prevention strategies.
Gap Deploys AI Platform for End-to-End Product Traceability
Gap Inc. has announced a new AI-powered supply chain platform focused on product traceability. The system is designed to track items from raw materials through to the retail store. This move addresses growing consumer and regulatory demands for supply chain transparency.
Home Depot Hires Ford Tech Leader to Scale Agentic AI
Home Depot has recruited a top AI executive from Ford Motor Company to lead the scaling of 'agentic AI' systems. This signals a major strategic push by the retail giant to automate complex, multi-step tasks. The move reflects the intensifying competition for AI talent between retail, automotive, and tech sectors.
The Future of Production ML Is an 'Ugly Hybrid' of Deep Learning, Classic ML, and Rules
A technical article argues that the most effective production machine learning systems are not pure deep learning or classic ML, but pragmatic hybrids combining embeddings, boosted trees, rules, and human review. This reflects a maturing, engineering-first approach to deploying AI.
Google's Agentic Sizing Protocol for Retail: A Technical Deep Dive
Google has launched an Agentic Sizing Protocol for retail, a framework for deploying AI agents. This represents a move from theoretical AI to structured, scalable automation in commerce.
REWE Expands Pick&Go Cashierless Store Test to Seventh Location in Hanover
German retailer REWE has launched its seventh Pick&Go cashierless convenience store test location in Hanover. This expansion signals continued investment in frictionless retail technology, a space where AI-powered computer vision and sensor fusion are critical.
Market Report: Key Players and Competitive Dynamics in Computer Vision for Retail
A new market report segments the global computer vision for retail market by component, deployment, retail type, application, and end-user. It highlights competitive dynamics among key players driving adoption in areas like customer analytics and inventory management.
Securing Agentic Commerce: New Frameworks and Protocols to Combat AI-Enabled Retail Fraud
Palo Alto Networks' Unit 42 details emerging AI-enabled fraud threats in retail, highlighting the new Universal Commerce Protocol (UCP) for secure agent transactions and defensive frameworks like 'Know Your Agent' (KYA).
Edge Computing in Retail 2026: Examples, Benefits, and a Guide
Shopify outlines the strategic shift toward edge computing in retail, detailing its benefits—real-time personalization, inventory management, and enhanced in-store experiences—and providing a practical implementation guide for 2026.
Operationalizing Agentic AI on AWS: A 2026 Architect's Guide
A practical guide for moving beyond AI experimentation to deploying production-ready AI agents on AWS. It outlines the four pillars of agentic readiness and the operational model needed to achieve real ROI.
Northeast Grocery CIO to Detail Agentic AI Implementation at GroceryTech Event
Northeast Grocery CIO Scott Kessler will keynote on 'Agentic AI in the Grocery Ecosystem' at Progressive Grocer's GroceryTech event, highlighting the shift from AI that recommends to AI that acts.
RF-DETR: A Real-Time Transformer Architecture That Surpasses 60 mAP on COCO
RF-DETR is a new lightweight detection transformer using neural architecture search and internet-scale pre-training. It's the first real-time detector to exceed 60 mAP on COCO, addressing generalization issues in current models.
From Surveillance to Service: How Computer Vision is Redefining Luxury Retail Experiences
Computer vision technology is evolving beyond basic analytics to enable personalized clienteling, virtual try-ons, and intelligent inventory management. For luxury brands, this means transforming physical stores into data-rich environments that deliver bespoke experiences at scale.
Securing the Conversational Commerce Frontier: AI Agent Fraud Protection for Luxury Retail
Riskified expands its AI platform to secure native shopping chatbots and AI agents. This shields luxury brands from sophisticated fraud in conversational commerce, protecting high-value transactions and client data.
The Agent-User Problem: Why Your AI-Powered Personalization Models Are About to Break
New research reveals AI agents acting on behalf of users create fundamentally uninterpretable behavioral data, breaking core assumptions of retail personalization and recommendation systems. Luxury brands must prepare for this paradigm shift.
Beyond Accuracy: Implementing AI Auditing Frameworks for Trustworthy Luxury Retail
A practical framework for auditing AI systems across five critical dimensions—accuracy, data adequacy, bias, compliance, and security—is essential for luxury retailers deploying customer-facing AI. This governance approach prevents brand damage and regulatory penalties while building consumer trust.