Headlines love humanoid robots, but the real wins in supply chain are happening on the warehouse floor, pallet by pallet, move by move. We sit down with Dr. Matt Waller, Brian Nachtigall from ArcBest Vaux , and Brad Umphres from Deloitte to unpack how autonomous forklifts with human-in-the-loop teleoperation cut costs, boost safety, and create the clean data that WMS and AI engines need to make faster, better decisions.

We start with the practical: why pairing sensors and remote teleoperation with proven forklift platforms beats ripping and replacing, and how that approach thrives in messy, changing DC environments. From there, we map the ripple effects; accurate, time-stamped pallet moves reduce lost inventory, unlock smarter slotting, and fuel interleaving and pick-path optimization. That visibility compounds across the network as TMS models incorporate forecasted weather and traffic, while drones accelerate cycle counts. The result is speed where it counts: speed of decisions. When your data is trustworthy, you move goods faster without accelerating bad processes.

The conversation then zooms out to the big picture. We connect rising productivity, resilient labor, and moderating inflation with capital deepening in AI and automation, a shift already visible in earnings and capex trends. For leaders deciding how to act, the playbook is clear: choose high-impact use cases, set hard metrics, educate teams, and commit beyond pilots. We share patterns that work, top-down sponsorship, real change management, and a “burn the ships” mindset that turns tools into adoption and pilots into programs.

If you’re weighing where autonomous forklifts fit in your DC, how to get clean inventory data without a rebuild, or what it takes to scale AI from a test bay to network-wide impact, this conversation is your blueprint. Subscribe, share with your ops and IT leaders, and leave a review with the one use case you’re ready to implement next.

Retail is sprinting into 2026, and the finish line keeps moving. We sit down with Deanah Baker and Scott Benedict to chart where the next big shifts will land: AI that actually clears friction, merchants who think across channels, and retailers racing to align speed, execution, and value. If you’ve felt the workload double since omnichannel merged teams, you’ll hear why the answer isn’t more hours, it’s smarter tools, cleaner data, and leaders who model new ways of working.

We dig into Amazon’s bold supercenter test in Orland Park and what it signals after years of smaller bets. Is this the long-awaited counterpunch to Walmart’s supercenter dominance? On the specialty side, mid-tier apparel faces a tough truth: financial strain delays tech adoption, even as RFID, sharper attribution, and faster cycles become survival gear. Target, once the gold standard for store discipline, needs to rebuild basics, on-shelf availability and execution, before the brand can shine again. Kroger’s at a crossroads with strong private brands but dented price trust and uneven service investments, while regionals press the pace.

Then there’s Aldi, expanding aggressively by doubling down on its limited-SKU, private-brand engine. The model travels, but only if logistics and inventory turns stay razor-sharp, because out-of-stocks in a narrow assortment break trips fast. Meanwhile, club formats; Costco, Sam’s Club, and BJ’s, prove that curated value and omnichannel convenience can grow together. Private labels, upgraded specs, and low-friction tech keep engagement high.

Walmart’s AI partnerships (including Gemini) point to a practical strategy: learn broadly, act quickly, and keep customer search and discovery seamless. The goal isn’t just smarter results, it’s shortening the path from insight to shelf, syncing merchants, suppliers, and supply chains. The real moat is culture: curiosity, art-meets-science judgment, and global awareness that great ideas can start anywhere.

If you lead in retail or sell into it, this conversation will sharpen your playbook for the next 24 months. Subscribe, share with your team, and leave a review with your biggest takeaway, what shift are you betting on?

Blink and the shopper has already moved on. We sat down with fellow DBB hosts Deanah Baker and Scott Benedict to map the retail shifts that will define 2026, where AI turns shopping into solution-finding, value stretches beyond price, and health becomes the default filter for every aisle.

We start with the pace of change and why being late to a behavior shift is costly. Consumers are already using AI tools and shopping agents to assemble entire solutions: meals tailored to nutrition goals, outfits for specific events, or home projects within a budget. Scott breaks down how agentic commerce weighs price, speed, stock, reviews, and delivery windows with zero emotion, forcing brands and retailers to upgrade product detail pages, data quality, and last-mile execution. Deanah zooms in on the merchant’s craft, showing how AI can take on the heavy lifting, forecasting, enrichment, and routine analysis, so teams can focus on curation, brand DNA, and staying close to the customer.

Then we tackle value in a tougher economy. Private brands aren’t filler; they’re strategic engines that signal quality and put pressure on national brands to justify gaps. We explore how value shows up as speed, reliability, and breadth of choice, not just low prices, and why shoppers now mix luxury and private label within the same trip. Finally, we dig into the rise of health and wellness, from “food as medicine” to smarter labels and educational product pages that help customers compare protein, sugar, and sodium at a glance. Wellness now touches pantry, apparel, and home, and it’s powered by trusted content plus fast, predictable fulfillment.

If you lead merchandising, marketing, supply chain, or brand, this conversation offers a practical map: build agent-ready content, design true private brands, redefine value, and train teams to move with speed. Part two goes deeper by retailer: Amazon, Walmart, Target, Kroger, Aldi, and what these trends mean for each. Subscribe, share with a colleague, and tell us: which shift will you tackle first?