Скачать или смотреть Best 10 AI Video Surveillance Solutions Transforming Retail Loss Prevention in 2025

In this episode, we explore how AI is shifting retail loss prevention from reactive to proactive. Using the blog “Best 10 AI Video Surveillance Solutions Transforming Retail Loss Prevention in 2025” (link: https://alphavision.ai/blogs/axis-int... (https://alphavision.ai/blogs/axis-int...) ) as our guide, we’ll walk through the top platforms, dig into their strengths and trade-offs, and help listeners understand how to pick the right solution for different retail settings.

Key Takeaways



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The scale of the problem: shrink, theft, fraud, and how AI video adds value beyond just recording




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The 10 standout AI surveillance solutions and what makes each unique:

  • Alpha Vision + Axis Integration cloud-native, Magic Search, real-time intervention, LPR, compliance ready 

  • Genetec Security Center unified security + POS integration, open architecture

  • Avigilon high-end imaging, “Appearance Search,” strong forensic tools

  • Avigilon Alta cloud-first version, plug-and-play emphasis

  • Verkada unified hardware + AI + cloud stack

  • Rhombus Systems integrated video + sensors + access control

  • Eagle Eye Networks camera-agnostic open cloud VMS

  • Hanwha Vision (Wisenet) edge AI cameras, local analytics

  • Milestone Systems open VMS with plugin AI marketplace

  • Spot AI retrofit AI for existing camera setups




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Strengths vs trade-offs in architecture (cloud vs edge vs hybrid), cost scaling, false positives, vendor lock-in, dependence on network connectivity




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Best practices when deploying at retail scale:

  • Pilot in high-risk stores or zones

  • Tune AI models continuously

  • Build fallback modes (local storage, buffering)

  • Track and tie metrics back to shrink, incident response, labor savings






Who Should Listen




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Retail security & loss prevention leaders




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CIOs / technology leads in retail chains




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Systems integrators and solution providers for retail




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Store operations / district managers interested in tech levers




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Analysts and consultants monitoring AI adoption in retail