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From Theft to Intelligence: AI Video Security for Retail ROI
Manage episode 511369197 series 3684284
In this more tactical episode, we turn the blog “Best 10 AI Video Surveillance Solutions Transforming Retail Loss Prevention in 2025” into a practical playbook. We extract decision levers, pitfalls, and trade-offs so you can move from theory to deployment with confidence.
Key TakeawaysDefining your loss prevention objectives (theft, fraud, internal errors) and aligning them with technology capabilities
Side-by-side of the 10 systems by key dimensions:
• Alpha Vision + Axis for full-stack, proactive deterrence
• Edge-first systems like Hanwha for low-latency, lower bandwidth consumption
• Open / hybrid systems like Eagle Eye, Milestone, Genetec
• Retrofitting approaches like Spot AIHow to evaluate proposals: required metrics, KPIs, service levels, integration support
Mitigations for the biggest risks (false alerts, connectivity loss, vendor lock, privacy)
Tips for scaling across regions/stores while maintaining control and consistency
Security / loss prevention project leads planning deployment
Technology architects designing retail security stacks
Integrators assessing competing platforms
Ops leads responsible for rollout, maintenance, and training
Analysts comparing AI adoption in retail security
31 episodes
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