Retailistic

Key takeawaysShelf intelligence raises the return on every other store investment.Retailers should own and govern their shelf data.Robots free store teams for higher-value work and customer connection.Topics covered0:25:Dana previews this week's Coresight Research reports, including the end of de minimis and cross-border e-commerce.1:32:Retailers' questions have moved from "do robots work in stores?" to "how fast can they scale?" Caitlin cites Kroger's Investor Day: about 900 robots live and more than 2,100 coming.3:18:Computer vision now tells retailers why a shelf problem exists. It ranks fixes by profit and margin, assigns them to a person, and confirms they were done.5:55:The shelf is shared infrastructure. The Coresight report found that retailers should digitize the shelf before other store tech, and that robots are 50% more precise than other scanning methods.7:13:In 2027 the robot becomes a platform, and the data becomes retail's operating layer. Retailers need to own and govern that data.8:18:Planning gets harder as professional shoppers and order volumes shift. Report stats: nearly 90% of retailers struggle with store operations, and sales lost to inefficiency rose 21% year over year.10:31:One public club client improved online order efficiency by 40% with guided pick paths.12:27:Retail media works better when it reflects what is really on the shelf. Clients find that 60% of items they think are out of stock are only misplaced, and pickers make 50% fewer substitutions.14:07:Remote store views let brand partners check pricing, promotions and planograms, and compare private label with national brands.15:49:Fresh, center-of-store, non-food and apparel need different scan frequency and tools, including fixed cameras and RFID.17:36:Retail jobs and turnover. Robots take over repetitive audits so staff can spend time with shoppers. Caitlin says 90% of store managers prefer their jobs with Tally around, and that retail employment is near record highs.22:29:Out-of-stocks and leadership awareness. About 50% of shoppers who can't find an item go elsewhere. One in three retailers has digitized the shelf.25:11:BJ's results: e-commerce fulfillment about 40% faster. SIMBE pilots typically pay back in 3–4 months at roughly 3–4x.27:11:SIMBE's three layers are retail capture, retail applications and data for CPG brands. The supply chain is still early in this shift.29:26:Buyers now see they are buying data to reinvent their operating model, not just a robot. Most deals are robots-as-a-service, with growing interest in CapEx.30:29:Customer lifetime value rose 11 percentage points for retailers using store intelligence. Shoppers visit more, stay longer and spend more when Tally is in the store.34:05:Tally is the only safety-certified robot in public retail spaces, which Caitlin says should become the industry standard.35:05:Looking ahead to 2027, Caitlin cites 96% of shoppers preferring a store with a robot. 

Key  topicsThe role of consumer surveys and data in retailInnovative tools for store and market analysisThe impact of AI on retail insightsTrends in consumer behavior and retail strategies Chapters00:00 Introduction and episode overview02:11 Philip Moore’s background and early career04:16 Transition from radio to market research09:40 Circuit City and the electronics retail model13:39 The DivX experiment and content licensing19:47 Building CarMax and the used car market20:12 Circuit City’s decline and CarMax’s success25:05 Coresight’s consumer survey and data insights43:21 Future AI tools and store intelligence platform 

Key  topicsData-driven decision making in retailImpact of AI on retail and marketingReinvention of malls and retail spacesBuild versus buy in AI technologyOrganizational structures around data and AIPattern recognition as a core of intelligenceRetail metrics and their limitationsRetail as a service and brand aggregatorsTakeawaysData for the sake of data is not enough; focus on conclusions.Every part of an organization has biases that affect decision-making.AI can reignite human creativity by lowering the science barrier.Success in retail is linked to talent and strategic alignment.Retail metrics like revenue per store can be misleading. Chapters00:00 Introduction to Ethan Chernofsky and retail AI03:25 How data changed perspectives on retail and real estate05:20 Pattern recognition and the essence of intelligence06:20 Balancing qualitative and quantitative data08:29 The impact of AI on narratives and decision-making09:44 The art and science balance in retail and AI11:08 Using AI to save time and enhance creativity12:18 Pacing the adoption of AI in organizations14:09 Build versus buy in AI technology16:32 The future equilibrium of AI tools and platforms18:57 Human elements in retail amidst AI advancements21:02 Real-world examples of AI success in retail22:25 Overused retail metrics and their pitfalls23:16 The renaissance and reinvention of malls24:09 Cross shopping as a key psychographic indicator25:03 Innovative uses of auto centers in malls27:57 Dress room technology and consumer resistance29:53 Walmart's data-driven success and pivots34:55 Leadership, talent, and organizational health in retail37:33 The impact of brand aggregators and retail consolidation 

Key topics Impact of AI and data science on category management Role of retail media and private label in retail strategy Changing shopper behaviors and professional shoppers The evolution of store formats and online integration The importance of human touch and education in retail The role of nutrition and health in category planning The influence of private label on market dynamics The future of store formats and the role of physical stores Chapters 00:00Introduction to James Jackson and episode overview 02:28The evolution of retail events and networking 04:01The changing landscape of retail stakeholders 05:42Educational focus and industry innovation 07:04The role of data science and AI in category management 09:07Career journey into category management 10:40Impact of technology on the role of category managers 12:36Balancing art and science in retail decision-making 14:54Online shopping trends and consumer behavior 17:25The rise of professional shoppers and store formats 22:48Private label strategies and market impact 27:22The influence of Aldi and private label on retail 32:03The role of nutrition and health in retail 36:34Data-driven education and consumer trust 37:43The future of health and wellness in retail 39:47The impact of retail media and monetization 40:01Lightning round: retail trends and strategies

Key  topics Evolution of retail technology from typewriters to AI Impact of AI and automation on pharmacy operations The role of pharmacists in patient care and diagnostics The significance of store experience and customer engagement Future trends: longevity, personalized medicine, and digital health Chapters 00:00 Introduction to Steve Perlowski and NACDS 00:31 Historical perspective: retail tech in 1988 01:01 From typewriters to mail correspondence 01:15 Early retail data collection methods 02:34 Impact of internet, cloud, and AI on retail 03:22 Prioritization of pharmacy tech investments 04:12 Transformations in pharmacy customer experience 05:26 Automation and AI in pharmacy operations 07:05 Centralized pharmacy fulfillment and robotics 08:42 Pharmacy's role in healthcare and longevity 09:40 Implications of extended lifespans and biotech advances 12:23 Misunderstandings about pharmacy and healthcare 13:50 The complexity of prescription fulfillment and insurance 17:47 Technological improvements in prescription accuracy 19:02 AI and computer vision in medication dispensing 20:06 GLP1s and the broader store health story 24:37 Emergence of new health categories and merchandising 27:24 Creating experiences and merchandising by life stage 32:22 The evolving role of pharmacists and in-store health services 39:11 Challenges facing pharmacy location sustainability 41:27 Tech industry disconnect and opportunities in retail 44:57 AI build vs. buy and organizational ownership 45:41 Data privacy, HIPAA, and AI regulation 47:06 Lightning round: personal preferences and insights  

Key  topics Impact of AI on retail strategy Evolution of retail events and networking Future trends in retail technology Leadership and organizational change in retail Real-world applications of AI in retail Chapters 00:00 Introduction to Krystina Gustafson and Retail Innovation 02:02 Krystina's Journey from Journalism to Retail 03:55 Lessons from Early Digital Transformation at Women's Wear Daily 07:00 The Role of Content and Curiosity in Retail Leadership 10:10 Transition from Journalism to Shop Talk and Retail Events 13:03 Insights on Building a Successful Retail Conference 16:01 The Rapid Evolution of AI in Retail 20:08 Strategic Planning and Long-term AI Roadmaps 24:09 Operational Applications of AI in Physical Retail Spaces 27:58 The Future of Personalization and Customer Experience 32:59 Challenges and Opportunities in AI Adoption 38:10 The Importance of Connection and Authenticity in Events 41:47 The Intersection of Physical and Digital Retail 45:06 AI's Role in Enhancing Customer Engagement 49:08 Lightning Round: Retail Predictions and Trends

Key  topics AI in physical supply chains Testing and building in fast-paced tech environments The impact of GLP-1 on health and consumer behavior   Chapters 00:00 Navigating the Information Overload in Venture Capital 02:17 The Importance of Testing and Building in Tech 04:52 The Shift Towards a Builder Culture 07:36 Evaluating Build vs. Buy in Technology Investments 10:10 The Role of Interns in Modern Organizations 13:01 The Future of AI in Supply Chain and Logistics 15:42 The Ripple Effects of AI on the Physical World 18:12 Challenges in Supply Chain Automation 20:55 Complexities of Robotics in Warehousing 25:30 Automation and Workforce Dynamics 26:49 The Impact of GLP-1 on Consumer Behavior 31:03 Healthcare Innovations and Continuous Care 33:49 Investing in a Changing Landscape 37:33 The Future of Shopping and Agentic Commerce 41:06 Lightning Round Insights

📌 Key Topics Covered in This Episode: • The rise of agentic commerce and AI-driven autonomous transactions. • How GLP-1 medications impact apparel sizing profiles and consumer grocery spending. • New Coresight Research data showing 60% of consumers want to use GenAI for shopping. • Overcoming the three main challenges of AI in retail: trust, checkout friction, and user inertia.   #RetailTrends #AgenticCommerce #AIinRetail #Retailistic #CoresightResearch #RetailTech 0:00 - Weekly Research Highlights & Reports 0:53 - Introduction by Deborah Weinswig 1:10 - Defining Agentic Commerce Strategy & Architecture 2:24 - Projecting the $1 Trillion Agentic Commerce Market Size by 2030 3:10 - Use Cases: Demand Forecasting & Inventory Allocation 3:23 - The Retail Impact of GLP-1 Weight Loss Medications 4:00 - Solving Apparel Sizing vs. Non-Apparel Dietary Shifts 4:44 - Consumer Insights: GenAI Shopping Survey Results 6:06 - 3 Major Challenges Facing Autonomous AI Commerce 7:12 - Looking Ahead: The Future of Retail Tech 7:30 - Conclusion & Coresight Research Services

Key  topics Resurgence of malls and entertainment concepts Grocery store evolution and value shopping Impact of AI and PropTech on retail real estate Consumer behavior shifts and proximity effects Revitalization strategies for dead malls Luxury retail trends and customer focus The role of pop-ups and short-term leases Global retail insights from China and Mexico   Chapters 00:00 Introduction and Passion for Retail 02:57 The Evolution of Entertainment in Retail 05:36 Changing Consumer Relationships with Malls 08:18 The Grocery Landscape Transformation 10:46 The Rise of Discount Retailers 13:23 The Future of Drugstores 16:19 Department Stores: A Dying Concept? 18:52 Experiential Retail and Consumer Engagement 21:32 Emerging Retail Concepts and Trends 26:17 The Rise of Luckin Coffee 29:48 Consumer Expectations and Product Innovation 30:30 The Mall Experience in China 31:37 Food and Beverage Trends in Malls 33:13 Healthcare in Retail Spaces 33:57 The State of Luxury Retail 36:00 The Lightning Round Begins 42:44 Misconceptions in Retail Real Estate 44:29 Future Cities and Retail Opportunities 45:57 Pop-Ups: The Future of Retail Leasing

Key  topics AI Impact Framework in retail Consumer sentiment and spending behavior Tech innovations for business agility   Chapters 00:00 Understanding the Changing Consumer Landscape 04:59 Consumer Sentiment and Spending Trends 07:40 Innovations in Technology and Consumer Engagement