Customerland

mike giambattista

Customerland is a podcast about …. Customers. How to get more of them. How to keep them. What makes them tick. We talk to the experts, the technologies and occasionally, actual people – you know, customers – to find out what they’re all about.So if you’re a CX pro, a loyalty marketer, a brand owner, an agency planner … if you’re a CRM & personalization geek, if you’re a customer service / CSAT / NPS nerd – you finally have a home.

Play

Open in

20 episodes
fortnightly
Avg 36 min
English

Episodes 20

Newest Oldest Longest

All20 Unplayed20 In progress0 Played0

S4 · E16
Wednesday · 39 min
When Content Becomes Code Who Controls Quality
Hitting “publish” used to feel routine. Now, when a prompt writes the first draft, that button can feel like a gamble. We sit down with Matt Blumberg, CEO of Markup AI, to talk about what’s really happening inside enterprise content teams as large language models crank out documentation, support articles, and marketing copy faster than humans can reliably review it. Matt lays out a simple framing that sticks: Markup AI is “AI to check your AI.” We dig into what content guardrails look like when you take brand voice, compliance, and accuracy seriously, and why “AI slop” is the one thing every client agrees they cannot ship. We also explore the overlooked frontier of AI search visibility, where a new rulebook is emerging for how content gets found and cited by tools like ChatGPT. The conversation goes deeper than product. Matt shares the behind-the-scenes reality of reinventing a 25-year-old NLP company into an AI-native, multi-agent platform, including failed first attempts, the need to integrate into real workflows (Docs, Word, Figma, APIs), and why enterprise software still matters even when you can build a clever prompt. We close on lessons from turnarounds, the new pace of shipping, and how to avoid product sprawl when code becomes cheap and fast. If you care about enterprise content governance, LLM guardrails, compliance risk, and the future of AI-driven content workflows, this one will sharpen your thinking. Subscribe, share with a teammate who owns “publish,” and leave a review with the guardrail your team needs most.
- Transcript
- Chapters
S4 · E15
October 13 · 43 min
Stored Value Meets Agentic Commerce
AI shopping agents are about to rewrite the rules of retail, and the scary part is simple: your brand can lose without ever getting a chance to persuade a human. We dig into that reality with Talbott Roche, CEO and president of Blackhawk Network, and it quickly becomes clear why “gift cards and kiosks” is an outdated way to think about what Blackhawk actually does. Under the hood, this is branded payments infrastructure operating at global scale, built to connect consumers and brands with less friction and more value. We walk through a practical framework for agentic commerce: discoverability, assisted shopping, and automated purchases. Talbott explains why discoverability becomes a structured data problem, not a creative problem, and why reviews and third-party signals will matter more when an LLM is choosing what shows up in the consideration set. The silver lining is real: when an agent makes a strong match, conversion rates can rise because the consumer has outsourced the heavy lifting of comparison. Then we get into the part most merchants underestimate: stored value as purchase intent. Gift cards, loyalty points, return credits, and coupons add up to a massive pool of already-funded demand, and if an agent can “see” that value at checkout, it can tip the scale toward one brand over another. We also cover wallet APIs, opt-in engagement, fraud and security concerns, and why the long-term win is redemption and repeat spend, not breakage. If you care about AI in retail, digital gift cards, loyalty, payments, and what’s next for customer experience, listen now, then subscribe, share with a friend in commerce, and leave us a review. What part of agentic shopping feels most urgent to you?
- Transcript
- Chapters
S4 · E14
September 23 · 48 min
Gift Cards Are Becoming Branded Currency And That Changes Loyalty
Gift cards look simple from the outside, but the machinery behind them is turning into one of the most useful building blocks in modern rewards and fintech. We talk with Alex Preece, CEO of Tillo, about why the “gift card” label can be misleading and how these products function as branded currency that customers already know how to use. When you combine that familiarity with digital delivery and API-based infrastructure, gift cards stop being a one-off present and start becoming a powerful tender type inside loyalty programs, employee benefits, and bank apps. We get into what changes when digital gift cards move beyond fixed denominations and become open-value, issued instantly for the exact amount a customer needs. Alex shares how that shift unlocks entirely new rewards and incentives use cases, from cashback wallets that keep value in retail, to large-scale public benefit distribution where spending can be restricted to essentials like groceries. We also explore what actually works in loyalty design: integrated shopping journeys that feel seamless, rewards that feel personal, and curation that beats dumping an A-to-Z catalog on members. Then we go deeper on the edge of what’s next: reloadable digital gift cards that reduce friction for frequent shopping, premium services that can be “paid down” through shopping behavior, and even models that use retailer margin to help consumers pay down mortgages. If you care about loyalty strategy, personalization, digital gift card platforms, and the future of rewards infrastructure, this conversation is packed with practical insight and sharp takes. Subscribe, share this with a teammate, and leave a review with the most underrated reward you’ve ever received.
- Transcript
- Chapters
S4 · E13
September 15 · 33 min
How Target Designs Trustworthy Shopping Across Every Touchpoint
Shopping is turning into a conversation, and that changes what “good UX” even means. We sit down with Purvi Shah, Senior Vice President, User Experience at Target, to unpack how user experience works when it’s not just an app or a website, but an enterprise-wide system that touches millions of guests and hundreds of thousands of team members. We get concrete about the daily craft behind human-centered design at scale: grounding in context, pulling in behavioral data, prototyping fast, and testing side by side with real users in the places they actually work and shop. Purvi also shares how Target thinks about UX as a strategic pillar tied to business goals, merchandising authority, and technology that makes experiences feel seamless rather than engineered. Then we go deep on AI and agentic commerce. What should technology anticipate, and where should it step back? We talk about trust as a core quality metric, why personalization needs transparency and control, and how traceable recommendations build confidence. Along the way, we explore a deceptively simple line in the sand: just because a system can infer your habits doesn’t mean it has permission to act on your behalf. If you care about retail innovation, digital transformation, UX strategy, or designing responsible AI experiences, this conversation will sharpen your thinking. Subscribe, share with a friend who builds products, and leave a review with your biggest question about AI in shopping.
- Transcript
- Chapters
S4 · E12
September 8 · 36 min
What If Customer Loyalty Starts After Checkout
The sale isn’t the finish line. It’s the moment you hand your relationship to shipping networks, support queues, return policies, and whatever happens when a real human has a real problem with their order. I’m joined by Andrew Schmid, Chief Product Officer at Route, to dig into why post-purchase is still the most underbuilt part of ecommerce and why it’s quickly becoming the place where profit and loyalty are decided. We get concrete about what “post-purchase” actually means, from package protection at checkout to order tracking, WISMO reduction, claims for lost or damaged packages, and the messy reality of returns, exchanges, and warranties. Andrew shares shopper research that reveals a scary truth: after a bad experience, many customers don’t complain loudly, they just disappear and 43% may never shop that brand again. We also challenge the idea that brands must choose between protecting margins and delivering a great customer experience, and we talk about how the right flows can create a true win-win where shoppers get what they wanted and brands keep revenue in their ecosystem. We also zoom out into technology and AI in retail, with a practical lens: automation that speeds up resolution, reduces support labor, and improves customer lifetime value without turning service into a ticket-closing machine. Andrew closes with a real example of optimizing a claims experience, including an A/B test that drives a 21% lift in replacement orders, showing how small changes after checkout can create big economic impact. If you care about ecommerce retention, returns management, customer trust, and post-purchase ROI, hit subscribe, share this with a CX leader, and leave a review with the most important post-purchase metric your team is tracking.
- Transcript
- Chapters
S4 · E11
September 1 · 28 min
Emotional Loyalty In 2026
Loyalty isn’t a punch card anymore, and it definitely isn’t just repeat purchases. We’re chasing a tougher standard: loyalty of choice. That’s the kind of customer loyalty that shows up when someone sticks with you even when a competitor is cheaper, closer, faster, or simply more convenient and when they come back after you’ve had a service failure or a product miss. I’m joined by Jaclyn Wands, VP of Product and AI at Phaedon, to get concrete about what “true loyalty” looks like in 2026 and how to measure it without fooling ourselves. We break down the difference between transactional loyalty (habit, ease, familiarity) and emotional loyalty (preference, trust, forgiveness). Jacqueline shares practical examples from travel and hospitality, including a smarter approach to airline loyalty programs: stop blasting generic promotions and start using data to solve the customer’s problem with relevance and timing. We also tackle the uncomfortable truth about personalization. If it feels like customers are being “haunted,” it’s usually because the brand is optimizing for its own KPIs, not the customer experience. Then we go deep on AI in loyalty and marketing. AI can create massive efficiency, but it also exposes structural problems in your data ecosystem and processes because it scales whatever you already have. Jaclyn lays out a clear “human in the loop” philosophy, what AI should absolutely handle (repetitive work, zero-to-one drafts), and where humans must stay accountable. Finally, we look ahead to AI assistants as a new gatekeeper for discovery and booking, and why brands may need loyalty programs connected into AI marketplaces to stay visible and differentiated. Subscribe for more conversations on customer experience, loyalty strategy, and AI, then share this with a teammate and leave a review. What brand has earned your loyalty of choice, and why?
- Transcript
- Chapters
S4 · E10
May 20 · 35 min
What If Your Fastest Growth Lever Is Inclusion
A retailer can spend millions driving traffic to a website and still quietly shut out customers at the exact moment that matters most: browsing, adding to cart, and checkout. That’s the uncomfortable truth behind web accessibility, and it’s why we sat down with Imogen Wethered, CEO of EnableAll, to talk about accessibility as a real driver of conversion, loyalty, and long-term growth, not a side project or a checkbox. We get specific about what accessible e-commerce actually means in practice: screen reader support, keyboard-only navigation, clearer labels and forms, better contrast, captions, reduced motion controls, and tools that let shoppers personalize the experience to their needs. Imogen explains why “silent revenue loss” is so common, how WCAG compliance becomes everyone’s responsibility and therefore nobody’s responsibility, and why brands often only move when enforcement or lived experience forces the issue. We also dig into the business case with numbers that should wake up any marketing, product, or CX leader. Disabled consumers represent massive purchasing power, and the opportunity online is often invisible because most analytics platforms never flag the customers who bounce due to barriers. We compare adoption to the early GDPR era, unpack the differences between ADA enforcement in the US and the European Accessibility Act, and discuss what it takes to win support from marketing, CTOs, and CFOs, including site speed concerns and ROI storytelling. We close with a challenge: as agentic shopping and AI accelerate experiences, accessibility becomes even more critical because speed exposes weaknesses fast. If this conversation changes how you think about your website and your customers, subscribe, share it with a teammate, and leave a review so more builders and leaders find it.
- Transcript
- Chapters
S4 · E10
May 5 · 40 min
Customer AI, Not A Call Center
“Deflection is dead” is a bold claim, but after this conversation it’s hard to argue. I’m joined by Pasquale DeMaio, VP of Amazon Connect Customer at AWS, to talk about why the future of customer service isn’t a shinier contact center dashboard. It’s customer AI that improves outcomes for the customer and also for the humans doing the work, from agents to managers to the business leaders responsible for performance. We dig into the idea of a human-to-AI continuum: some moments should be fully automated because speed is the kindest thing you can do, while other moments demand empathy and a real person. Pasquale explains how Amazon Connect thinks about using AI for routing, agent assist, recommendations, and automatic summaries so agents stop spending their day on wrap-up codes and busywork. The thread running through it all is simple: make the technology recede so the human can focus on the customer, not the tools. Then we tackle agentic AI and the practical reality of deploying it safely. The takeaway is not “let the agent invent everything,” but combine agentic capabilities with deterministic workflows for critical steps like payments, identity, and security. We also explore trust, security, and reliability as the foundation for any AI-driven customer experience, plus why disconnected vendors create local improvements but fail to deliver an end-to-end customer journey. If you care about CX strategy, customer engagement, contact center modernization, and AI in customer service, this one will sharpen your thinking. Subscribe, share this with a CX leader who needs to hear it, and leave a review with your biggest question about agentic AI.
- Transcript
- Chapters
S4 · E9
April 28 · 40 min
How Retail Media And Loyalty Connect In Store
Your next grocery “deal” might not be a discount at the register and that’s exactly why it works. We sat down with Sean Turner, co-founder and CTO of Swiftly, to unpack the real mechanics behind digital promotions that change behavior in brick-and-mortar grocery and convenience stores, from customer acquisition to retail media monetization. We get specific about how retailers can find and bring back shoppers using one-to-one targeting across digital channels like social, open web, connected TV, and location-based screens, then convert that attention into app downloads and repeat trips. Sean explains why the mobile app has become the default digital home for loyalty programs, personalized offers, and a smoother shopping experience, and why that same app is the most practical place to build a retail media business without needing a massive content team. Then we go deeper into measurement and incentives: how to prove incremental ROAS for in-store retail media, how alcohol rebate compliance shapes offer design, and why cashback can create a bigger basket lift than instant redemption. The details matter, from clear qualification reminders to making payout fast and trustworthy so shoppers actually feel the value. We close by zooming out to the modern grocery technology stack and the next wave of change. Personalization is no longer optional when attention spans are shrinking, and AI agents are starting to influence meal planning and product discovery. If your store inventory and pricing aren’t connected to the wider digital ecosystem, you risk being invisible when shoppers ask for recommendations. If you found this useful, subscribe, share it with a retail leader, and leave a review so more grocery and retail media teams can find the show.
- Transcript
- Chapters
S4 · E8
March 10 · 38 min
From Workflow To Blueprint: How Pega Reimagines Processes
What if AI could design your business in minutes—and still pass audit? We sit down with Pega CEO Alan Trefler to unpack how Blueprint uses generative AI to reimagine complex processes while preserving the predictability enterprises demand. Instead of asking models to improvise outcomes at run time, Blueprint captures objectives, proposes stages and data flows, and feeds a best-in-class workflow and decisioning engine that’s built for change. We get into the core challenge every leader faces: turning AI hype into production reality. Alan breaks down three kinds of AI that matter in the enterprise—statistical next best action, generative features that assist workers, and generative process design that rethinks how the business should run. The twist is timing. Let the model be expansive at design time, then lock the logic, policies, and decision frameworks before go-live. That keeps outcomes consistent, explainable, and ready for regulators and auditors. You’ll hear how this approach reshapes sales and consulting. With just a few inputs and a client’s website, a first meeting can produce a tailored blueprint that feels shockingly complete. Consulting partners can now embed their proprietary IP via partner-branded blueprints, marrying their best practices with Pega’s runtime to deliver four to five times faster. We also cover trust guardrails—data isolation, no training on client data, transparency into decisions—and why predictable AI will separate pilots that stall from systems that scale. If you’re evaluating AI for process transformation, customer engagement, or operational excellence, this conversation will give you a practical framework for choosing the right AI for the right job—and a playbook for moving from idea to production with confidence. Subscribe, share with a colleague who owns transformation, and leave a review with the one process you’d redesign first.
- Transcript
- Chapters
S4 · E7
March 3 · 36 min
The New Rules Of Subscriber Loyalty
Want proof that churn isn’t the end of the story? We sit down with Recurly’s Chief Product Officer, Priya Lakshminarayanan, to explore how pause states, micro subscriptions, and one‑click plan changes are rewriting the rules of subscriber loyalty. Drawing on network‑wide data from millions of users, Priya explains why nearly one in four new subscriptions comes from a former customer and how 75% of paused users eventually return when brands make exits humane and re‑entry effortless. We dig into the rise of micro subscriptions—short passes that replace bloated free trials—and why they convert around 13% of users into ongoing plans. From there, we map the journey that grows revenue: compress time to value in the first 90 days, use context‑aware prompts to surface upgrades when benefits are felt, and lean on annual plans that generate 50–60% more revenue than monthly without sacrificing trust. Priya shows how Recurly’s engagement tools turn helpful nudges into one‑click actions tied directly to billing, so a downgrade, pause, or tailored discount happens in the moment a user needs relief, not days later. We also tackle the loyalty stack that matters now: transparent billing, excellent support, and a sharper focus on data privacy that’s moved to the forefront of subscriber decisions. Flexibility to pause or switch plans emerges as a true customer‑first signal, while ethical and sustainable practices vary in weight by vertical and demographic. Finally, Priya previews an AI retention agent designed to detect churn type in real time, select the right save tactic within budget, and keep growth on autopilot. If you care about retention, ARPU, and building real trust, this conversation offers practical, data‑backed steps you can put to work today. Listen, share with a teammate who owns subscriptions, and leave a quick review to tell us which tactic you’ll test first.
- Transcript
- Chapters
S4 · E6
February 11 · 32 min
Designing Trustworthy AI For Real Customers
Customers don’t churn all at once—they leave through a thousand small cuts. We sit down with Katie Costanzo, President of CX at CSG, to unpack how leading brands are closing those gaps with real-time decisioning, smarter use of billing and journey data, and disciplined deployment of agentic AI. If clarity, empathy, and credibility feel scarce in your customer experience, this conversation offers a practical reset and an action plan. Katie breaks down what CSG Xponent actually does across the journey, from onboarding to service, billing, and support. We explore how billing intelligence can predict confusion, trigger proactive help, and even offer tailored payment plans that preserve trust. Instead of blasting more messages, we talk about cutting the noise by timing communications to intent and choosing the right channel for action. The result: fewer dead ends, fewer escalations, and a measurable lift in customer loyalty. We also dive into the tension around agentic AI. With 56% of consumers still wary of letting AI act on their behalf, how do you unlock the efficiency without losing hearts and minds? Katie’s take: onboard AI like an employee. Define responsibilities, set guardrails, build transparent governance, and always provide human on-ramps. Start small, solve specific pains, prove value, and scale. As switching costs approach zero, brands that move at the speed of experience—decisions in milliseconds, improvements in weeks—will win the market. If you’re a CX, product, or operations leader looking to turn data into trust and trust into growth, this episode is your field guide. Subscribe, share with a colleague, and leave a review to tell us which micro friction you’ll fix first.
- Transcript
- Chapters
S4 · E5
February 3 · 35 min
Building A Resilient Career While AI Rewrites The Rules
What if the antidote to career burnout isn’t a new job, but a new structure? We sit down with Ruth Stevens - B2B marketing veteran, educator, and globe-trotting “academic tourist” - to unpack how a portfolio career can turn chaotic consulting into a resilient, joyful life. Ruth walks us through the system she built: teaching that provides rhythm and community, paid writing and research that monetize curiosity, and board work that expands perspective and credibility. Each lane feeds the others, creating a flywheel where ideas sharpen and opportunities compound. Then we pivot into the AI frontier with clear eyes. We talk about using large language models as thought partners rather than ghostwriters, why unedited outputs are risky in classrooms and courtrooms, and how brand voice can erode when teams lean on generic prose. We dig into the tough questions: who owns the data, what do energy-hungry data centers mean for communities, and can policymakers keep pace with deepfakes and model misuse? You’ll hear a chilling simulation anecdote that illustrates why safety work and governance matter - and how product teams can test, monitor, and document AI responsibly. It’s not all doom. We spotlight hopeful applications like accessible productivity tools and low-cost therapeutic support, and we outline a practical approach: automate drudgery, keep humans on judgment and narrative, and build lightweight guardrails before regulation lands. If you’re a solo practitioner, marketer, or leader trying to navigate AI while designing a career you actually want, this conversation offers a map and a push. Subscribe, share with a friend who needs a reset, and tell us: which part of Ruth’s playbook will you try first?
- Transcript
- Chapters
S4 · E4
January 26 · 29 min
Your Average Shopper Doesn’t Exist
Shoppers aren’t average anymore—and our stores shouldn’t be either. We dig into why treating each location as a living ecosystem beats blanket strategies, especially when consumer signals are split between cautious and confident spending. With Justine Melman, CMO at Optimum Retailing, we explore how connected data and AI-powered planograms turn messy, stressful environments into calm, intuitive spaces that invite discovery and drive conversion. Across the conversation, we unpack the tension between shopper stress and in-store enjoyment, revealing why cluttered shelves and noisy signage push people away while clear wayfinding and focused merchandising pull them in. We talk through the rise of impulse purchases as a form of self-care, and how retailers can enable those moments without overwhelming the senses. Justine shares how localized insights—traffic patterns, heatmaps, weather, and nearby events—feed dynamic planograms that adapt assortments, facings, and features to each store’s real shoppers, not theoretical personas. You’ll hear concrete examples, including a telco that used Realogram to generate automated, store-specific planograms and saw up to a 17% lift in sales—proof that dynamic beats static when executed at scale. We also tackle the category gap: grocery and health are resilient, while apparel, electronics, and restaurants fight for discretionary dollars. The unlock is emotional relevance. By framing “nonessential” items through practicality and personal impact, brands can turn nice-to-have into must-have in ways that feel authentic and local. If you’re a retail leader ready to replace averages with precision, this is your playbook: use data to sense, AI to decide, and simple design to soothe. Subscribe, share with your team, and leave a review with one change you’ll make to localize your stores this quarter.
- Transcript
- Chapters
S4 · E3
January 20 · 43 min
Coaching AI, Leading Humans
Forget churning out more content; the real advantage now is coaching intelligent systems to deliver work that still feels unmistakably human. We sit down with Johann Wrede, CMO of UserTesting, to unpack why the modern marketing leader must operate like a business generalist, not a channel specialist—and how AI raises the floor on execution while threatening to flatten differentiation. Johann traces an unconventional path from engineering to sales to marketing to the C-suite, revealing why integrated thinking beats siloed teams and how curiosity has been the throughline in every step. We dig into the shift from outputs to outcomes, the growing responsibility CMOs have across finance, talent, and culture, and the practical ways to build teams that prompt for critique, pressure-test assumptions, and use AI as a typist and analyst while protecting the origin of ideas. The conversation gets tactical: how to detect and avoid “common denominator” content, when to bet on in-person experiences to earn authentic digital lift, and why brand voice matters even more when a bot handles the first touch. Johan shares lessons from UserTesting customers who test tone, empathy, and clarity before deploying AI into apps and contact centers, aiming for helpful, on-brand interactions without pretending the machine is human. If you’re rethinking your marketing operating model—designing briefs for agents, calibrating prompts for better judgment, and building tight research loops with real people—this one maps the path. If this resonated, follow the show, share it with a teammate who’s retooling their workflow, and leave a quick review telling us how you’re coaching AI for better outcomes.
- Transcript
- Chapters
S4 · E2
January 14 · 31 min
Trust, Agents, And The Future Of Work
The excitement around agentic AI is loud, but the real story starts where hype meets accountability. We sit down with Eric Karofsky, CEO of Vector HX, to separate narrow task agents from agentic systems that plan, reason, and negotiate across steps—and to ask the uncomfortable question: who do you trust when your agent starts talking to someone else’s agent? Eric walks us through the gaps leaders often miss. It’s easy to mandate AI from the top; it’s harder to redesign the workflows that make measurable impact. We explore why trust breaks down when autonomy spreads across tools, teams, and vendors, how hallucinations become career risk inside enterprises, and what guardrails look like in regulated sectors. The conversation stays grounded with two practical wins. First, a pharma literature review pipeline that shrinks from six months and $250,000 to roughly two weeks by structuring extractions, adding human checks where accuracy matters most, and instrumenting the process end to end. Second, a document discovery platform that stitches together siloed repositories with smart metadata, natural language search, and relationship mapping that surfaces parent, child, sibling, and multilingual versions of critical procedures. If you’re wondering where to start, Eric’s advice is simple and hard: map the jobs to be done, pick a high-friction workflow with measurable outcomes, and redesign it around human needs. Save broad agentic autonomy for bounded domains with clear policies, identity, and audit trails. The best KPI for the next 12 months might be whether your core processes actually change; if you’re doing the same work the same way next year, you probably missed the point. Ready to rethink your approach to AI beyond better emails? Listen now, subscribe for new episodes, and share this with a teammate who owns process change. Your take: where would agentic AI actually earn trust in your organization?
- Transcript
- Chapters
S4 · E52
January 6 · 31 min
Sensorized Stores, Smarter Retail
The future of retail isn’t just about shiny tech on the sales floor; it’s about the unseen engine that makes every experience feel effortless. With Verizon Business’s Katie Riddle, we unpack how sensorized products, unified IoT platforms, and edge AI are transforming inventory accuracy, employee workflows, and the shopper journey—while forcing retailers to rethink bandwidth, security, and the true cost of scale. We start with the ground game: real‑time visibility. As RFID and low‑cost sensors spread through stores and DCs, managers can spot low stock, recover misplaced items, and treat shelves with the same precision we expect from ecommerce analytics. Katie shares how Verizon’s ThingSpace creates a single pane of glass for devices and environments—HVAC, refrigeration, digital shelf labels, and more—turning disconnected data into actions that cut waste and improve availability. Then we zoom out to the network layer. Smaller formats benefit from fixed wireless access, larger boxes lean on private 5G, and everyone needs fast, reliable Wi‑Fi. That mix matters because AI tools and retail media networks are hungry. Natural‑language search for associates, computer vision for measurement, and privacy‑safe attention analytics all demand low‑latency compute at the edge. Katie explains how to separate mission‑critical systems from media traffic, prove in‑store ad lift with 5G Video Insights using existing cameras, and fund the initiatives that actually move the brand forward. None of this works without robust security and a plan that outpaces growth. Every new endpoint expands the attack surface, so zero trust, segmentation, and managed detection become table stakes. Sustainability rounds out the story: sensors that prevent spoilage, energy‑smart operations, and circular programs that align with how customers want to buy. The takeaway is clear—technology is your brand now. Overbuild the right way, measure what matters, and protect the experience end to end. If this conversation helped you see what’s next, follow the show, share it with a colleague, and leave a quick review so more retail leaders can find it.
- Transcript
- Chapters
S3 · E51
Dec 16, 2025 · 43 min
Retailers Can Now Sense, Predict, And Act In Real Time
What happens when retail stops waiting for shoppers to arrive and starts responding to every signal in real time? We dive into a candid, practical look at how AI is reshaping the entire customer journey—from discovery sparked in chat interfaces to fulfillment choices optimized for margin and sustainability. With SAP Customer Experience leader Balaji Balasubramanian, we unpack the systems, data, and decisions required to turn conversations into commerce and curiosity into profitable growth. We explore why unified data is the real unlock for AI in retail and how a business data cloud gives models the context they need: customer profiles, orders, invoices, inventory, pricing, and unstructured signals. Balaji explains Joule, SAP’s conversational co-pilot, and how it sits on top of business AI and knowledge graphs to answer questions, trigger actions, and summarize insights for teams in the flow of work. We also talk about WalkMe’s role in accelerating adoption and giving users context-aware guidance and shortcuts. The result is a stack that reduces friction, shortens cycles, and makes bold ideas operational—without replacing the people who bring judgment and brand sense to the table. The conversation tackles big shifts many leaders feel but haven’t fully mapped: destination shopping becoming instant demand; personalization evolving into proactive orchestration; and loyalty moving from points to trust. We consider how to tie recommendations back to inventory location, margin, and sustainable delivery so that offers are both relevant and responsible. We also address tough realities like a five-point slide in true loyalty and the widening expectation gap, and why AI-driven pilots—margin-aware personalization, proactive service, dynamic bundling—are the fastest path to learning what works at scale. If you’re serious about real-time retail and want a playbook that blends strategy with execution, this conversation delivers clear steps and fresh energy. If this resonates, follow the show, share it with your team, and leave a quick review so we can keep bringing you practical insights that move the needle.
- Transcript
- Chapters
S3 · E50
Dec 10, 2025 · 34 min
Smart Carts, Real Revenue
A grocery cart that acts like a high-performing media channel sounds bold, until you hear how it actually works. We sit down with Yaniv Zukerman, CMO at Cust2Mate, to unpack how a retrofit smart cart platform turns the physical aisle into an addressable, measurable environment where shoppers get guidance, retailers unlock new revenue, and brands finally see real attribution at the shelf. We start with the origin story: a clip-on panel that transforms any existing cart into a smart cart, complete with scanning, guided lists, service counter booking, and on-cart checkout. Then we zoom out to the platform: charging and docking systems, fleet management, and deep integrations with POS and loyalty for identity, context, and closed-loop outcomes. Yanev shares why the system is designed as an open marketplace, making room for retail media networks, CPG campaigns, and third-party apps like recipes, wellness content, reviews, and even local offers that fit the trip. The core breakthrough is precision. Instead of spray-and-pray store screens, a dedicated cart display travels with each shopper for about 45 minutes, informed by lists, scans, dwell time, and exact location. That enables real-time triggers, personalized promotions, and full attribution from impression to conversion. Retailers see faster checkout, labor relief, and a new profit engine from in-store retail media and data monetization. Brands gain verified reach at the point of decision. And shoppers get less friction, more relevance, and a smoother path to pay-and-go. We also dig into the playbook for adoption: pilots with clear KPIs, structured integrations, cross-functional teams, and onsite support to train staff and customers. Beyond grocery, we explore use cases in pharmacy and DIY, plus cross-retail partnerships and digital assortment sold from the cart for home delivery. Looking two years ahead, Yanev outlines a future where stores become the most data-rich, accountable channels in retail—real-time, attributable, and truly shopper-centric. If this vision resonates, follow the show, share it with a retail operator or brand leader who needs it, and leave a review to help more people find conversations like this.
- Transcript
- Chapters
S3 · E49
Dec 2, 2025 · 25 min
How AI Loyalty Transforms Grocery And Retail
The most valuable loyalty program isn’t a points card—it’s a living system that knows each shopper, adapts in real time, and proves it can drive incremental spend. We sit down with Jeff Baskin, Chief Revenue Officer at Eagle Eye, to unpack how unified commerce and true one-to-one personalization are reshaping grocery, convenience, and hospitality. Instead of stitching tools together, Jeff explains how a single platform that connects payments, promotions, loyalty, and engagement unlocks a complete customer view and makes every interaction feel relevant across channels. Jeff pulls back the curtain on two standout case studies. Giant Eagle combined loyalty with digital promotions to generate hundreds of millions in incremental sales by influencing the next purchase, not just rewarding the last. Tesco’s AI challenges push personalization further: models weigh 190+ decisions per shopper to assign tailored goals and rewards, scaling from 3 million to 10 million customers quickly while guaranteeing measurable uplift. These programs win CPG support because they tie spend to clear ROI, not vague impressions, and they help retailers grow margin by moving shoppers into higher-value behaviors. We also get practical about the messy middle: data silos, legacy POS programs, and organizational friction. Jeff shares why a consultative approach matters—start with customer outcomes, treat data as a strategic asset, and build a feedback loop that improves with every transaction. We compare Walmart’s tech-driven experience gains with the edge regional grocers can reclaim by pairing human connection with AI-powered relevance. The takeaway is simple: personalization works because it mirrors how people already consume content on Netflix and Instagram. When retailers deliver that level of relevance across store and digital, loyalty stops being a cost and becomes a growth engine. Subscribe, share with a colleague who cares about loyalty, and tell us: where are your silos, and what would you test first?
- Transcript
- Chapters

Showing 1–20 of 20 episodes