From Theft to Intelligence: AI Video Security for Retail ROI
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From Theft to Intelligence: AI Video Security for Retail ROI
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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 Takeaways-
Defining your loss prevention objectives (theft, fraud, internal errors) and aligning them with technology capabilities
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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 AI
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How to evaluate proposals: required metrics, KPIs, service levels, integration support
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Mitigations for the biggest risks (false alerts, connectivity loss, vendor lock, privacy)
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Tips for scaling across regions/stores while maintaining control and consistency
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Security / loss prevention project leads planning deployment
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Technology architects designing retail security stacks
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Integrators assessing competing platforms
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Ops leads responsible for rollout, maintenance, and training
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Analysts comparing AI adoption in retail security
