WHERE

RETAIL

HAPPENS

AMA: Loyalty That Learns: Build Emotional Retention with AI

Your loyalty program feels transactional and forgettable while AI-powered retention systems are creating emotional connections that make customers genuinely excited to engage with brands instead of just collecting points they never remember to use. This intimate roundtable brings together 10 retail leaders who are testing the cutting edge of AI-driven loyalty strategies that learn customer preferences, adapt rewards in real-time, and build the kind of emotional attachment that turns casual buyers into passionate brand advocates. You'll get unfiltered peer insights on which predictive modeling approaches are actually working to identify the moments when customers are most likely to engage versus the expensive AI experiments that sound impressive but don't move retention metrics. Expect candid conversations about dynamic reward systems that surprise and delight customers with personalized experiences, behavioral signal analysis that reveals what customers really value beyond purchase history, and the costly mistakes that taught these leaders what never to automate in customer relationships. This isn't a presentation—it's an open forum where you'll share challenges, debate strategies, and walk away with practical frameworks you can test immediately, plus real stories of spectacular failures and breakthrough successes that you won't hear anywhere else. If customer retention is make-or-break for your business, this roundtable gives you direct access to peers who are solving the same problems and the proven tactics they're using to turn AI into genuine emotional connection.

AMA: Use Behavioral Data to Drive Repeat Revenue

Your customer data is sitting in silos telling a fragmented story while retailers at this table have cracked the code on turning behavioral signals into predictable repeat revenue streams that compound with every customer interaction. This AI-focused roundtable brings together 10 brands who've moved beyond basic segmentation to deploy sophisticated behavioral analysis that identifies the exact moments when customers are ready to make their next purchase, what triggers will motivate them to buy again, and how to orchestrate touchpoints that feel personal rather than pushy. You'll get direct access to peers who are successfully using browsing behavior, purchase history, and engagement patterns to create automated retention systems that generate measurable increases in customer lifetime value without requiring massive marketing budgets. Expect unfiltered conversations about which behavioral triggers actually predict repeat purchases versus the data points that look important but don't drive action, the specific AI frameworks they're using to identify high-value customers before they place their second order, and the expensive mistakes they made while learning which behavioral interventions work versus which ones annoy customers and damage relationships. This roundtable is your opportunity to share retention challenges with peers who understand your specific problems and walk away with proven behavioral data strategies you can implement immediately, plus tactical insights about timing, messaging, and automation that you can only get from practitioners who've tested these approaches with real customers and real revenue results.

AMA: Design Shopping Experiences That Convert In-Store and Online

Your customers are experiencing beautifully designed shopping journeys everywhere else that make your store and website feel disconnected and outdated, while the retailers at this table have mastered the art of creating AI-powered experiences that seamlessly blend digital convenience with in-store storytelling to drive both immediate conversions and lasting brand affinity. This roundtable brings together 10 retail leaders who've successfully deployed AI to remove friction while amplifying the emotional elements that make customers choose their brand over cheaper alternatives, creating shopping experiences that feel effortless and memorable rather than just functional. You'll get direct insights from peers who understand the challenge of balancing conversion optimization with brand storytelling, sharing proven strategies for using AI to personalize experiences without losing the human touch that builds emotional connection. Expect candid discussions about which AI-powered experience enhancements actually drive revenue versus the expensive upgrades that look impressive but don't impact conversion rates, how to create seamless omnichannel journeys that make customers want to engage across both digital and physical touchpoints, and the hard-won lessons about where to automate versus where human interaction creates irreplaceable brand value. This is your chance to learn from practitioners who've tested these approaches with real customers and can share the tactical details about implementation, measurement, and optimization that determine whether experience investments deliver measurable ROI or just create prettier interfaces that don't change customer behavior.

AMA: Messaging that Moves: Turn Brand Narrative into Buyer Intent

Your brand storytelling wins awards and generates social buzz but doesn't translate into measurable sales lift, while the media and brand leaders at this table have cracked the code on using AI to transform compelling narratives into messaging that actually drives purchase behavior across every touchpoint. This roundtable brings together 10 practitioners who've moved beyond beautiful brand content to deploy AI-powered messaging strategies that personalize storytelling at scale, turning brand purpose and values into conversion-driving communications that feel authentic rather than sales-driven. You'll get unfiltered insights from peers who understand the challenge of making emotional storytelling perform like direct response marketing, sharing proven frameworks for using AI to adapt brand narratives for different audiences, channels, and stages of the customer journey without losing the authentic voice that makes your brand distinctive. Expect candid discussions about which storytelling approaches actually move purchase intent versus the expensive brand campaigns that generate engagement but don't drive revenue, how AI is helping personalize brand messaging across live shopping, CTV, and interactive video without creating generic automated content, and the tactical lessons learned about timing, context, and messaging hierarchy that determine whether brand stories inspire action or just create pretty content that customers forget. This is your opportunity to share messaging challenges with peers who've solved similar problems and walk away with fresh examples, practical implementation strategies, and the confidence to make your brand narrative pay off in measurable business results.

AMA: Brand Voice Everywhere: How to Keep it Sharp Across Every Platform

Your brand voice gets diluted and generic the moment you try to scale it across TikTok, CTV, store shelves, and dozens of other touchpoints, while the leading brands at this table have mastered the art of using AI to maintain sharp, distinctive messaging that cuts through noise on every platform without breaking creative budgets or losing authentic brand personality. This AI-focused roundtable brings together 10 retail leaders who've solved the challenge of keeping brand voice consistent and compelling across fragmented media landscapes, sharing proven strategies for scaling creative that feels native to each platform while maintaining the distinctive edge that makes customers choose their brand over countless alternatives. You'll get direct insights from peers who understand the complexity of managing brand voice across multiple channels simultaneously, including the expensive missteps they've made while learning which AI tools actually preserve brand authenticity versus which ones create bland, automated content that sounds like every other retailer. Expect candid discussions about the specific ways AI is helping them measure brand voice consistency, adapt messaging for different platforms without losing impact, and scale creative production across dozens of touchpoints while maintaining quality control and budget discipline. This is your chance to learn from practitioners who've navigated the same brand voice challenges you're facing and can share tactical frameworks, proven tools, and implementation strategies that help your brand stand out everywhere your shoppers are without requiring massive creative teams or unlimited budgets.

AMA: The C-Suite Navigation Guide: How to Stay Agile Amid Constant Disruption

Your executive team is caught between the pressure to innovate rapidly and the need to maintain operational stability, while the senior technology leaders at this table have developed frameworks for making strategic decisions under uncertainty that keep their companies ahead of disruption without sacrificing security or team morale. This exclusive roundtable brings together 10 C-suite executives who are successfully steering retail organizations through constant technological change, sharing unfiltered insights about the tough calls they're making around AI experimentation, resource allocation, and transformation priorities when every decision feels high-stakes. You'll get rare behind-the-scenes access to how these leaders balance short-term performance pressures with long-term strategic bets, including the expensive mistakes they've made while learning which innovation investments pay off versus which ones drain resources without delivering competitive advantage. Expect candid discussions about their current AI roadmaps, the organizational challenges they're navigating while implementing new technologies, and the leadership strategies they use to maintain team confidence and execution quality during periods of rapid change. This is your opportunity to share transformation challenges with peers who understand the unique pressures of guiding innovation at the executive level and walk away with hard-won strategic frameworks, decision-making criteria, and leadership lessons that you can only get from practitioners who've successfully navigated similar disruptions at scale.

The Agentic Commerce Revolution: How AI Shopping Agents Are About to Make Your Website Irrelevant (And What Smart Retailers Are Doing About It)

Your customers are already asking AI agents to research, compare, and recommend products instead of visiting your carefully optimized website—and this shift is accelerating so fast that traditional ecommerce strategies could become obsolete within two years. While you're perfecting your homepage conversion rates, breakthrough retailers are preparing for a world where AI agents handle the entire shopping journey, from discovery to purchase, potentially bypassing your direct customer relationship entirely. The companies getting ahead of this seismic shift understand that agentic commerce isn't just another channel—it's a fundamental restructuring of how retail operates, requiring new approaches to product discovery, pricing strategy, payment processing, and customer data ownership. You'll walk away with practical frameworks for positioning your products and brand to win in agent-mediated shopping environments where traditional SEO and advertising become less effective, real examples of how early adopters are experimenting with AI agent partnerships and direct integrations to maintain customer relationships in an agentic world, the critical business model adjustments you need to make now to protect your merchant relationships and profit margins when agents start negotiating directly with your systems, and the specific preparation steps that will determine whether you thrive in agentic commerce or become just another product option that agents recommend based purely on price and availability. While most retailers are still optimizing for human shoppers, you'll be building the infrastructure and partnerships that ensure your brand succeeds when AI agents become the primary way customers discover and purchase products.

The Merchandising AI Advantage: How Smart Retailers Cut Inventory Costs 35% While Boosting Sales Performance

Your merchandising and supply chain teams are still making decisions based on last season's data and gut instinct, while competitors are using AI to predict demand shifts, optimize assortments, and prevent stockouts with precision that seemed impossible just two years ago. The retailers transforming their operations understand that AI isn't just about automation—it's about fundamentally better decision-making that compounds across every aspect of product planning and logistics management. Leading merchandising teams are deploying predictive systems that identify winning products earlier, eliminate slow-moving inventory faster, and create supply chain resilience that turns disruptions into competitive advantages. You'll walk away with detailed case studies showing exactly how retail leaders implemented AI forecasting systems that reduced inventory holding costs while improving in-stock rates across their entire assortment, the specific AI tools and frameworks that revolutionized assortment planning by predicting which products will perform in which locations before the season even starts, the supply chain optimization strategies that use machine learning to create flexible fulfillment networks that adapt to demand spikes and disruptions automatically, and the costly implementation mistakes that derailed other retailers' AI projects—plus the proven approaches that deliver measurable results within 90 days. While your competitors are still relying on historical sales data and seasonal trends, you'll have the AI-powered insights and operational frameworks that turn merchandising and supply chain from reactive cost centers into proactive profit drivers.

AMA: The Retail Reset: What Being "Future-Ready" Actually Means Right Now

Your organization is running on systems and strategies built for a retail world that no longer exists, while the brands pulling ahead have fundamentally re-architected their operations to thrive in an environment where yesterday's best practices become tomorrow's competitive disadvantages overnight. The retailers succeeding in today's disrupted landscape understand that being "future-ready" isn't about predicting what's coming next—it's about building organizational agility that lets them adapt faster than competitors when change inevitably arrives. Leading brands have moved beyond incremental improvements to wholesale transformation of how they make decisions, deploy technology, and respond to market shifts, creating operational flexibility that turns disruption into competitive advantage rather than existential threat. You'll walk away with fresh research insights revealing exactly how successful retailers are dismantling legacy systems without destroying operational continuity, the specific organizational restructuring strategies that eliminate silos and enable rapid response to market changes without creating internal chaos, proven frameworks for making strategic bets that balance innovation risk with business stability, allowing companies to experiment aggressively while protecting core operations, and actionable intelligence about which transformation priorities deliver immediate competitive advantage versus which ones are expensive distractions from the changes that actually matter. While your competitors are either paralyzed by the pace of change or making desperate pivots that destabilize their operations, you'll have the strategic clarity to build the organizational agility that keeps you ahead of shifting markets and evolving consumer expectations.

AMA: Agentic AI in Action: Real Stories from the Retail Frontlines

Your teams are still handling tasks manually that competitors have already handed off to AI agents, while the brand leaders in this session have deployed autonomous systems that resolve customer issues end-to-end, generate product copy at scale, and optimize assortments without human intervention—freeing up their best people for strategic work that actually moves the business forward. Agentic AI has moved beyond experimental pilots into daily operations where intelligent systems are making decisions, taking actions, and delivering measurable results across customer service, merchandising, and operational functions that used to require constant human oversight. The retailers getting ahead with AI agents understand that the technology isn't just about automation—it's about fundamentally restructuring how work gets done to amplify human capability rather than replace it, creating competitive advantages that compound as the systems learn and improve. You'll walk away with specific case studies showing exactly where these leaders have successfully deployed AI agents and the measurable efficiency and revenue improvements they're achieving, candid insights about the organizational changes required to integrate autonomous systems without creating team disruption or resistance, proven strategies for identifying which tasks to hand off to AI agents versus which ones require human judgment and creativity, and tactical guidance for seizing the early-mover advantage while competitors are still debating whether agentic AI is ready for business-critical applications. This isn't theoretical discussion about future possibilities—it's a practical conversation with practitioners who are already operating AI-powered retail organizations and can share the real-world lessons about what works, what fails, and how to implement these systems before your competition figures it out.

AMA: Prioritizing AI Projects: Cutting Through Vendor Noise to Build Your Winning Roadmap

Your team is drowning in AI vendor pitches and pilot proposals while successful retailers have developed systematic frameworks for identifying which AI investments will actually transform their business versus which ones will drain resources on impressive demos that don't impact the bottom line. The challenge isn't finding AI opportunities—it's choosing the right sequence of projects that build on each other to create sustainable competitive advantages rather than scattered experiments that look innovative but don't deliver measurable ROI. Leading retailers understand that AI roadmap success comes down to ruthless prioritization based on business impact rather than technological sophistication, focusing resources on initiatives that solve real operational problems and generate compound returns over time. You'll walk away with proven frameworks for evaluating AI project ROI that help you distinguish between genuine business transformers and expensive technology theater, specific sequencing strategies that show you how to layer AI initiatives across functions to maximize learning and minimize risk while building toward enterprise-scale advantage, real case studies of successful AI roadmaps alongside costly mistakes that wasted months of implementation time and budget on projects that never delivered promised results, and practical decision-making criteria for avoiding shiny-object syndrome while ensuring you don't miss genuinely transformative opportunities that competitors are already implementing. This workshop gives you the strategic clarity to cut through vendor noise and build an AI investment roadmap that accelerates growth and creates lasting competitive advantage instead of just checking innovation boxes that don't move business metrics.

AMA: The C-Suite Challenge: Leading with Clarity in an AI-Transformed Era

Your executive team is making AI investment decisions without the deep understanding needed to distinguish between transformative opportunities and expensive distractions, while forward-thinking C-suite leaders have developed the strategic frameworks and leadership capabilities to navigate AI transformation with confidence and clarity. The challenge facing today's executives isn't just understanding AI technology—it's leading organizations through fundamental changes in how work gets done, roles evolve, and competitive advantages are built when traditional business playbooks no longer apply. Successful C-suite leaders understand that AI adoption is ultimately a leadership test that requires new skills for evaluating technology investments, managing organizational change, and inspiring teams to embrace transformation rather than resist it. You'll walk away with proven strategies for upskilling yourself and your leadership team to make informed AI investment decisions without needing to become technology experts, specific frameworks for guiding organizations through the workflow changes and role shifts that AI implementation creates while maintaining team morale and productivity, candid examples of leadership approaches that successfully drove AI adoption alongside expensive mistakes that created organizational confusion and resistance, and actionable tactics for setting clear vision and managing risk during AI transformation while building the talent and organizational structure needed for long-term success. This workshop addresses the unique leadership challenges that only C-suite executives face when steering companies through AI-driven change, giving you the strategic clarity and practical tools to lead confidently through uncertainty while positioning your organization to thrive in an AI-transformed competitive landscape.

AMA: Building No-Code Agents for Retail: A Hands-On Workshop

Your team assumes AI agents require expensive developers and months of technical implementation, while retailers in this workshop are building powerful automation systems using no-code platforms that deploy intelligent agents in days rather than quarters—without writing a single line of code or hiring specialized technical talent. The breakthrough in AI accessibility means that operational leaders can now design, train, and launch sophisticated agents that handle customer service, streamline inventory management, and analyze market trends using intuitive interfaces that feel more like building spreadsheets than programming software. Smart retailers are discovering that no-code AI agent platforms unlock automation opportunities they never thought were accessible, creating competitive advantages through rapid deployment of intelligent systems that their technical teams would have deprioritized for months. You'll walk away with hands-on experience building actual AI agents during live demonstrations that show you exactly how to automate retail and CPG processes without any coding knowledge, tactical walkthroughs of proven agent designs that handle real business functions like customer support, inventory optimization, and market analysis—with templates you can customize immediately, peer-tested strategies for identifying which business processes are perfect candidates for no-code agent automation versus which ones still require human oversight, and practical implementation guidance that helps you deploy these agents in your business within weeks rather than waiting for technical resources to become available. This isn't a theoretical overview of what's possible—it's a working session where you'll actually build AI agents that solve real retail problems and walk away with functioning automation systems you can expand immediately.

AMA: AI Reality Check: What's Actually Working in Retail Right Now (And What's Coming Next)

Your organization is making strategic decisions based on AI capabilities from six months ago while the technology landscape shifts so rapidly that what seemed impossible last quarter is already being deployed by your competitors today. The challenge facing retail leaders isn't just keeping up with AI advancement—it's distinguishing between genuine breakthrough capabilities that will transform your business and technological hype that sounds impressive but doesn't deliver practical value you can implement profitably. Smart retailers understand that AI is advancing exponentially rather than incrementally, creating opportunities and competitive threats that emerge faster than traditional strategic planning cycles can address, requiring new approaches to technology evaluation and implementation timelines. You'll walk away with clear, grounded insights about which AI capabilities are genuinely ready for business-critical deployment versus which ones are still experimental technology that will waste your resources, real-world examples of AI applications that are already transforming customer experience and operations across retail functions—with specific guidance about implementation complexity and ROI timelines, tactical intelligence about breakthrough capabilities moving from theory into practice over the next 12-18 months that will create new competitive advantages for early adopters, and practical frameworks for evaluating emerging AI technologies so you can make informed bets on which innovations deserve immediate investment versus which ones to monitor for future implementation. This session cuts through the AI hype cycle to give you the strategic clarity needed to position your business for success in a landscape where technological capabilities are evolving faster than most organizations can adapt.

AMA: Tackling Tariffs: Scenario Planning in a Volatile World

Your supply chain team is manually reacting to tariff changes and trade disruptions while competitors are using agentic AI to anticipate policy shifts, automatically reroute shipments, and optimize inventory positions before volatile markets impact their profitability. The combination of unpredictable global trade policies and mounting margin pressure has created an environment where traditional supply chain planning can't keep up with the speed of change, but intelligent systems are enabling proactive response strategies that turn operational uncertainty into competitive advantage. Leading supply chain and operations teams have deployed AI agents that don't just analyze disruption scenarios—they actively execute contingency plans across sourcing, logistics, and fulfillment without waiting for human decision-making that might come too late to protect margins. You'll walk away with real examples from practitioners who are using agentic AI to build supply chain resilience that automatically adapts to tariff announcements, trade policy changes, and global disruptions, specific frameworks for implementing AI-powered scenario planning that anticipates operational risks and executes response strategies faster than competitors can even identify the threats, candid insights about which AI supply chain applications are delivering measurable protection against volatility versus which ones are still too experimental for business-critical operations, and practical guidance for building more agile operations that use artificial intelligence to thrive in uncertainty rather than just survive it. This session gives you direct access to leaders who've successfully transformed reactive supply chains into proactive, AI-powered operations that protect profitability regardless of global trade volatility.

The $14M Loyalty Loophole: Why Smart Retailers Made Their Best Customers Spend 290% More This BFCM

While you're discounting everything for everyone, your VIP customers are getting the same generic 25% off as random bargain hunters—and wondering why they bothered staying loyal all year. Leading retailers discovered that AI-triggered loyalty upgrades during peak shopping moments don't just reward customers, they create spending frenzies that generate massive incremental revenue in 72 hours or less. You'll walk away with the AI loyalty boost framework that automatically identifies your highest-potential customers mid-BFCM and surprises them with exclusive tier upgrades (driving one retailer's top segment to spend $2,400 more per customer in one weekend), the exact surprise reward triggers that create urgency without cheapening your brand—including the "48-hour VIP window" that generated 290% higher AOV, the automated perk stacking system that makes customers feel truly special while protecting your margins, and the critical timing algorithms that deploy upgrades at the precise moment customers are most likely to splurge big. Your competitors are treating their best customers like strangers during the biggest shopping weekend of the year—while you're turning loyalty into a profit multiplier that compounds long after BFCM ends.