[Podcast] 4 Minutes to Build Your Loss Prevention Strategy

Join us as we explore how AI-powered exception-based reporting (EBR) detects and reduces retail shrinkage.

Appriss Retail's 4 Minutes to Build Your Loss Prevention Strategy Podcast, discusses how AI-powered exception-based reporting detects and reduces retail shrink. Exception-based reporting (EBR) alone isn't enough to protect your stores from loss. Tune into this new loss prevention podcast series.

4 Minutes to Build Your Loss Prevention Strategy Podcast

Welcome to “4 Minutes to Build Your Loss Prevention Strategy” – the podcast that explores AI and data-driven approaches for enhancing retail loss prevention. Join us as we discuss AI’s role in reducing retail shrinkage, addressing cash register discrepancies, the limitations of visual AI, and more.

Our special guest, Nathan Smith, founder of SysRepublic and a retail strategy expert, shares valuable insights and together, we’ll uncover how AI optimizes operations and prevents risks.

Tune in now to revolutionize your loss prevention strategy.

Episode #1: Leveraging AI-Powered EBR for Better Loss Prevention

Join us as we explore how AI-powered EBR (exception-based reporting) detects and reduces retail shrinkage. Our special guest, Nathan Smith, founder of SysRepublic and a retail strategy expert, shares invaluable insights on harnessing AI for loss prevention.

Episode #1: Leveraging AI-Powered EBR for Better Loss Prevention

Episode #2: Coaching for Reduced Turnover, Higher Profits, and Better Customer Experience

Listen in to learn about process and control failures that may be contributing to retail shrink, the risks of unintentional losses stemming from these failures, and what strategies are effective in preventing them. Additionally, learn more about utilizing solutions that can prioritize employee training, recognition, and rewards.

Episode #2: Coaching for Reduced Turnover, Higher Profits, and Better Customer Experience

Episode #3: Getting to the Bottom of Cash Register Discrepancies

Nathan Smith, an advisor to Appriss Retail and the founder of SysRepublic, joins us again in this episode as we explore examples of unintentional and intentional cash loss, discuss what retailers typically look for in these cases, and touch upon the role of machine learning and technology in addressing this issue to help minimize losses.

Episode #3: Getting to the Bottom of Cash Register Discrepancies

Episode #4: Unlocking Store Level Inventory Visibility to Manage Exceptions

In this episode, we’re joined by Nathan Smith, the founder of SysRepublic and a retail strategy guru. Together, we delve into the world of AI-powered data, discussing its crucial role in maintaining on-shelf availability, ensuring accuracy, and identifying incidents like internal and external theft.

Episode #4: Unlocking Store Level Inventory Visibility to Manage Exceptions

Episode #5: Balancing Visual AI and Data-Driven Advancements for 360° Coverage

In our final episode, we explore the limitations of visual AI and discuss why video alone is not the holy grail of loss prevention. Learn how combining both video AI and data-driven AI can help offer 360° coverage.

Episode #5: Balancing Visual AI and Data-Driven Advancements for 360° Coverage

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