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From Theft to Intelligence: AI Video Security for Retail ROI

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

  • 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

  • How 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

Who Should Listen

  • 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
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