In this episode, we explore how AI-powered security is becoming a strategic lever in retail not just a loss prevention tool. Drawing on the blog “Best 10 AI-Powered Security Solutions Recognized for Boosting Retail ROI” (https://alphavision.ai/blogs/axis-integration/best-10-ai-powered-security-solutions-boosting-retail-roi), we’ll cover key platforms, their tradeoffs, and how to think about adoption at scale.

• The challenge: retail shrink is enormous and pervasive getting smarter detection is now table stakes

• Overview of 10 prominent AI security solutions and their strengths   • Alpha Vision + Axis combining high-end hardware + AI, offering proactive intervention   • Open systems (Eagle Eye, Milestone) vs closed ones (Verkada)   • Retrofit options like Spot AI for existing camera fleets   • Edge processing (Hanwha) vs full cloud (Avigilon Alta, Eagle Eye)

• Comparative tradeoffs: cost, architecture, alert quality, integrations, vendor flexibility

• Metrics to demand: shrink reduction, alert-to-response time, labor hours saved, incident counts

• Roadmap suggestions:   • Start with high-theft stores or zones   • Choose 2–3 systems for pilot and compare outcomes   • Use analytics to influence merchandising, staffing, layout   • Expand based on validated ROI

• Heads of security or loss prevention in retail

• CIOs / innovation leads at retail chains

• Technology integrators or security vendors

• Store operations leaders interested in smart tools

• Industry watchers tracking AI adoption in retail