The Retail Tales: Retail AI Podcast

S2E12: Computer Vision for Margin Optimizaton | Feat. Joe White

What if the cameras already inside retail stores, warehouses, and corporate offices could tell retailers what's going wrong — right now, not tomorrow? That's the core question, our host, Saurabh [https://www.linkedin.com/in/svijayvergia/] explores in this episode with Joe White [https://www.linkedin.com/in/joewhite2/], CEO of Everseen [https://everseen.com], one of the world's leading vision AI companies working with some of the largest global retailers. Joe brings over 30 years of enterprise technology leadership and he pulls no punches on the real state of retail operations. You'll walk away understanding why most retail video data has historically been "unstructured, unanalyzed, and under-utilised," what it actually takes to deploy vision AI across a 2,000-store estate, and why the standard for success isn't perfection — it's directional accuracy. Joe makes the case that every wave of retail technology has been solving the same problem: closing the gap between how a retail operation should run and how it actually runs in reality. Vision AI, he argues, is the most powerful tool yet for doing exactly that. This one is for retail technology leaders, loss prevention executives, operations directors, and anyone who wants to understand where vision AI is genuinely delivering value today — and where the hard questions still remain. Chapters 00:00 Introduction to AI in Retail Environments 01:38 From Retrospective to Real-Time Visual Data Analysis 03:06 Joe's Journey into Vision AI and Retail Leadership 06:23 Milestones in the Evolution of Computer Vision 13:06 Key Inflection Points Transforming Vision AI in Retail 16:24 Retail Challenges Addressed by Vision AI 20:38 Common Skepticisms & Misconceptions about Vision AI 24:11 Proven ROI and Impact of Vision AI Solutions 24:58 Future Trends: Autonomous Stores and Multimodal AI 31:19 Advice for Retail Leaders Embarking on AI Journeys 36:35 Key Takeaways and Final Thoughts For more such content, go to www.retailtales.ai [http://www.retailtales.ai] or listen to it on Spotify [https://tinyurl.com/TRT-Spotify] | Apple Podcasts [https://tinyurl.com/TRT-Apple] | YouTube [https://www.youtube.com/@TheRetailTales] | iHeartRadio. [https://www.iheart.com/podcast/269-the-retail-tales-retail-ai-316692824] DISCLAIMER: The information presented in this podcast episode is intended for general informational purposes only. By accessing and listening to this episode, you acknowledge that none of the information provided herein should be construed as advice from The Retail Tales, its individual author(s), hosts, or guests. It is not intended to replace independent research on any subject matter. Any mention of specific products or entities does not imply an endorsement or recommendation by The Retail Tales. The opinions expressed by guests are their own, and their appearance on the program does not constitute an endorsement by The Retail Tales or any associated entity. The host may have taken creative liberties to make the stories and experiences more appealing to the listeners. The Retail Tales waives all liability or responsibility for any direct, indirect, incidental, special, consequential, or other damages that may result from an individual's use of, reference to, or reliance on this podcast or the information it contains.

The AI Use Case Treadmill Is Real

In this episode, Saurabh [https://www.linkedin.com/in/svijayvergia/] opens with a story about an that will feel familiar to many retail leaders — a senior executive who is exhausted. Not from the meeting, but from the AI use case treadmill. Two years. Dozens of pilots. A growing backlog. And a P&L that barely moved! That conversation became the lens for this episode's central argument: retailers are asking the wrong question about AI. The AI Use Case Problem Most organizations approach AI the same way they've approached every tech wave — identify a pain point in an existing process and ask "can AI help here?" It feels logical, but it has a fundamental flaw: it assumes the underlying process is worth optimizing. When you bolt AI onto a workflow designed for manual execution, you make a flawed thing slightly better. The ROI fragments. Nothing feels transformational. The Better Question Instead of "how can AI help with this process?" — ask: If I were designing this function from scratch today, knowing that AI can plan, reason, act, and learn autonomously — what would I actually build? That single reframe changes EVERYTHING. ---------------------------------------- Listen now on your favorite podcast platform: Spotify [https://tinyurl.com/TRT-Spotify] | Apple Podcasts [https://tinyurl.com/TRT-Apple] | YouTube [https://www.youtube.com/@TheRetailTales] | iHeartRadio [https://www.iheart.com/podcast/269-the-retail-tales-retail-ai-316692824/] Connect with The Retail Tales * Website: www.retailtales.ai [http://www.retailtales.ai] * LinkedIn: @retailaitales * Instagram: @the.retail.tales * X: @theretailtales DISCLAIMER: The information presented in this podcast episode is intended for general informational purposes only. By accessing and listening to this episode, you acknowledge that none of the information provided herein should be construed as advice from The Retail Tales, its individual author(s), hosts, or guests. It is not intended to replace independent research on any subject matter. Any mention of specific products or entities does not imply an endorsement or recommendation by The Retail Tales. The opinions expressed by guests are their own, and their appearance on the program does not constitute an endorsement by The Retail Tales or any associated entity. The host may have taken creative liberties to make the stories and experiences more appealing to the listeners. The Retail Tales waives all liability or responsibility for any direct, indirect, incidental, special, consequential, or other damages that may result from an individual's use of, reference to, or reliance on this podcast or the information it contains.

S2E10: Future of Retail - Insights from CES and NRF 2026

In this episode of The Retail Tales [https://retailtales.ai], host Saurabh [https://www.linkedin.com/in/svijayvergia/]reflects on his experiences at two major industry events of 2026, Consumer Electronic Show (#CES) and National Retail Federation (#NRF). He emphasizes that CES showcases the future of technology, presenting it as a signal of where the industry is headed, while NRF focuses on the practical implications of these technologies in real-world retail operations. Saurabh discusses the shift from AI as a mere capability to AI as an integral infrastructure, stressing the importance of orchestration over mere connectivity in retail systems. He also notes the emergence of agentic systems that can autonomously manage complex tasks, thereby redefining the roles of human workers in retail organizations.   As the conversation progresses, Saurabh focuses on the concept of agentic commerce, which represents a significant evolution in how commerce operates, moving from human-driven processes to intelligent agents acting on behalf of consumers. He highlights the importance of the Universal Commerce Protocol (UCP) introduced by Google, which aims to standardize communication between merchants and agents, facilitating a new era of agent-driven commerce. The episode concludes with key takeaways for retail leaders, emphasizing the need for a strategic approach to AI adoption, the importance of organizational structures, and the critical role of leadership alignment in navigating the future of retail.   Key Takeaways: * AI is moving from a capability to an infrastructure * Orchestration is the future of retail systems, not just connectivity * Agentic systems will redefine human roles in retail organizations * Retail leaders must focus on how to adopt AI, not if they should * UCP will standardize agent-driven commerce   Chapters: 00:00 | Introduction and New Year Reflections 01:51 | CES: The Future of Technology in Retail 22:45 | NRF: Real-World Applications and Challenges 39:08 | Key Takeaways and Future Directions for Retail Leaders   Listen now on your favorite podcast platform: Spotify [https://tinyurl.com/TRT-Spotify] | Apple Podcasts [https://tinyurl.com/TRT-Apple] | YouTube [https://www.youtube.com/@TheRetailTales] | iHeartRadio [https://www.iheart.com/podcast/269-the-retail-tales-retail-ai-316692824/]   DISCLAIMER: The information presented in this podcast episode is intended for general informational purposes only. By accessing and listening to this episode, you acknowledge that none of the information provided herein should be construed as advice from The Retail Tales, its individual author(s), hosts, or guests. It is not intended to replace independent research on any subject matter. Any mention of specific products or entities does not imply an endorsement or recommendation by The Retail Tales. The opinions expressed by guests are their own, and their appearance on the program does not constitute an endorsement by The Retail Tales or any associated entity. The host may have taken creative liberties to make the stories and experiences more appealing to the listeners.   The Retail Tales waives all liability or responsibility for any direct, indirect, incidental, special, consequential, or other damages that may result from an individual's use of, reference to, or reliance on this podcast or the information it contains.

S2E09: Inside Walmart’s AI Journey - From Pilots to Scale | Feat. Aaron Berg

Scaling AI in retail is not about experimentation anymore. It is about execution. In this episode of The Retail Tales, host Saurabh [https://www.linkedin.com/in/svijayvergia/]sits down with Aaron Berg [https://www.linkedin.com/in/aarongberg/], Vice President of Digital Transformation at Walmart [https://corporate.walmart.com/], for a candid conversation on what it truly takes to move AI from pilots to enterprise-scale impact inside one of the world’s most complex retail organizations. Drawing from Aaron’s journey across finance, corporate development, operations, and digital transformation, the discussion goes deep into how Walmart approaches AI as a long-term capability rather than a series of disconnected experiments.  Together, they explore: * How AI moved from experimentation to strategic priority at Walmart * Why many retail AI initiatives stall in “pilot purgatory” and never scale * The often-overlooked hidden costs of AI across data, governance, adoption, and change management * Where AI is creating the most meaningful impact across the retail value chain * How leaders should think about build vs buy decisions for AI capabilities * The balance between ambition, responsibility, and human judgment in AI adoption The episode concludes with a fast-paced Lightning Round, offering Aaron’s unfiltered perspectives on AI myths, unpopular opinions, capital allocation, and what success in retail AI should look like. This conversation is essential listening for retail leaders, technology executives, and AI practitioners who are serious about moving beyond pilots and building AI that scales. Listen now on ⁠Spotify⁠ [https://tinyurl.com/TRT-Spotify] or ⁠Apple Podcasts⁠ [https://tinyurl.com/TRT-Apple].   DISCLAIMER: The information presented in thispodcast episode is intended for general informational purposes only. By accessing and listening to this episode, you acknowledge that none of the information provided herein should be construed as advice from The Retail Tales, its individual author(s), hosts, or guests. It is not intended toreplace independent research on any subject matter. Any mention of specific products or entities does not imply an endorsement or recommendation by The Retail Tales. The opinions expressed by guests are their own, and their appearance on the program does not constitute an endorsement by The Retail Tales or any associated entity. The host may have taken creative liberties to make the stories and experiences more appealing to the listeners. The Retail Tales waives all liability or responsibility for any direct, indirect, incidental, special, consequential, or other damages that may result from an individual's use of, reference to, or reliance on this podcast or the information it contains.

S2E08: Holiday Season 2025 - AI Meets the Value-Seeking Consumer | Feat. Brian McCarthy

Holiday 2025 is here — and consumers are rewriting the rules. In this episode of The Retail Tales [https://www.linkedin.com/company/retailaitales/], our host Saurabh Vijayvergia [https://www.linkedin.com/in/svijayvergia/] is joined by Brian McCarthy [https://www.linkedin.com/in/briancmccarthy/], Partner at Deloitte Consulting [www.deloitte.com] and co-author of Deloitte’s 2025 Holiday Retail Survey [https://www.deloitte.com/us/en/insights/industry/retail-distribution/holiday-retail-sales-consumer-survey.html], to unpack the data behind this season’s trends. They explore how AI and value-seeking consumers are reshaping holiday shopping — from cautious optimism and redefined “value” to Gen Z’s digital-first mindset and the emotional power of omnichannel experiences. Brian also shares his perspective on customer empathy, simplification, and what retail leaders should prioritize as they prepare for 2026. Whether you’re a retail executive, technologist, or strategist, this conversation offers data-driven insights on how to blend AI, empathy, and execution for an evolving shopper landscape. Listen now on Spotify [https://tinyurl.com/TRT-Spotify] or Apple Podcasts [https://tinyurl.com/TRT-Apple]. DISCLAIMER: The information presented in this podcast episode is intended for general informational purposes only. By accessing and listening to this episode, you acknowledge that none of the information provided herein should be construed as advice from The Retail Tales, its individual author(s), hosts, or guests. It is not intended to replace independent research on any subject matter. Any mention of specific products or entities does not imply an endorsement or recommendation by The Retail Tales. The opinions expressed by guests are their own, and their appearance on the program does not constitute an endorsement by The Retail Tales or any associated entity. The host may have taken creative liberties to make the stories and experiences more appealing to the listeners. The Retail Tales waives all liability or responsibility for any direct, indirect, incidental, special, consequential, or other damages that may result from an individual's use of, reference to, or reliance on this podcast or the information it contains.