GROW NYAGENDA
800 retail leaders. 2 days of eComm lessons, AI tactics & BFCM advice.
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70 deep-dive sessions on:
DAY 1
Registration and Check in Breakfast Hosted by Junip
Breakfast ends at 8:50 AM
The wait is over! Step inside for our first day of powerful insights, game-changing strategies & networking.
Morning Kick-Off
Get ready to ignite your day! Join us as we set the tone for an action-packed conference with opening insights, key industry trends and a powerful welcome from our expert host. Expect energy, inspiration & a roadmap for what’s ahead. Let’s make it happen!
The AI Growth Reality Check: An Unfiltered AMA on Turning Tech Hype Into Actual Revenue
Your company has multiple AI initiatives running simultaneously, but none are yet delivering the transformational growth promised in those early pitch meetings—meanwhile, the few retailers who've cracked sustainable AI-driven growth are pulling ahead with measurable results while everyone else burns budgets. The gap between AI experimentation and AI-powered growth comes down to execution strategy, team alignment, and ruthless focus on outcomes over "innovation theater", but most organizations are still stuck in the pilot phase while their successful competitors have moved into scaling profitable AI applications. In this honest Ask Me Anything, enterprise leaders who've successfully built growth-driving AI strategies will share the uncomfortable truths about what actually works versus what sounds good in boardrooms, including their most significant failures (so far) and the mindset shifts that finally broke through to measurable results. You'll get direct answers to your toughest AI implementation questions, including how they built alignment between marketing, tech, and finance teams that historically couldn't agree on basic success metrics, the specific frameworks they use to distinguish between AI projects that drive real business outcomes (vs. those that just generate impressive internal presentations), proven strategies for getting executive buy-in and sustained investment in AI initiatives that take months to show results but deliver compound growth when executed correctly, and the practical blueprint for rallying cross-functional teams around AI applications that directly impact revenue and ROI instead of just checking innovation boxes. This isn't another polished case study about theoretical AI success—it's a raw conversation with leaders who've made mistakes and emerged with repeatable frameworks for turning AI investments into sustainable competitive advantages.
The Payment Revolution: How Unified Commerce Tools Are Creating Customer Experiences That Drive Explosive Growth
Your customers are experiencing payment flows so smooth they don't even realize they're buying, while leading retailers build checkout systems that feel more like magic than transactions. The companies winning in today's market have cracked the code on unified payments that work seamlessly across every channel, creating experiences so frictionless that customers actively choose them over competitors purely for the convenience. Payment innovation isn't just about processing transactions anymore—it's about building competitive moats through experiences that customers can't get anywhere else, turning checkout from a necessary step into a brand differentiator that drives loyalty and repeat purchases. You'll walk away with the payment trend insights that reveal exactly what customers expect from modern checkout experiences and how leading brands are exceeding those expectations, the infrastructure innovations that are enabling super-app-level seamless payments across every touchpoint from social media to physical stores, the cross-channel payment capabilities that let customers start purchases anywhere and complete them everywhere without missing a beat, and the strategic priorities that payment leaders are using to build competitive advantages around customer experience. While the industry focuses on reducing friction, breakthrough retailers are using payments to create positive experiences that customers remember, share, and actively seek out again and again.
The Content Scaling Breakthrough: How Smart Retailers Are Producing 10x More Creative Without Destroying Their Brand (Or Their Teams)
Your marketing team is drowning in content demands while competitors are somehow producing personalized creative at impossible speeds—and the gap is widening every day. Leading retailers have cracked the code on AI-powered content scaling that maintains brand integrity while dramatically increasing output, but most are still struggling with the same challenges you face: maintaining quality, ensuring brand consistency, and avoiding the generic AI look that screams "automated." The brands winning this battle have learned through expensive trial and error exactly where AI excels, where it fails catastrophically, and how to build frameworks that amplify human creativity instead of replacing it. You'll walk away with the exact scaling frameworks that helped major retailers increase content production tenfold while actually improving brand consistency by 67%, real case studies of AI creative wins and spectacular failures that taught leading retailers what never to automate, the specific content types and formats where AI delivers exceptional results versus where human oversight is absolutely critical, and the team structure and workflow changes that prevent AI from turning your brand voice into robotic corporate speak. While your competitors are either afraid to embrace AI creative tools or rushing headfirst into generic automation, you'll have the proven roadmap for scaling personalized, on-brand content that actually converts customers instead of just filling content calendars.
The Enterprise AI Scaling Challenge: How Leading Brands Turn Fragmented Pilots Into Company-Wide Competitive Advantage
Your AI pilots are working beautifully in isolation, but every attempt to scale them across departments creates chaos, duplicated efforts, and million-dollar budget drains that deliver no measurable business impact. Most retailers are stuck in pilot purgatory—running successful small experiments while competitors who've cracked enterprise-wide AI deployment are pulling ahead with coordinated strategies that amplify results across every function. The brands that have successfully scaled AI understand that technology is only 30% of the challenge; the real breakthrough comes from organizational alignment, shared measurement frameworks, and integration strategies that most companies completely miss. You'll walk away with proven frameworks for unifying AI strategy across departments without creating territorial conflicts or duplicated investments, the specific organizational changes and leadership structures that enable seamless AI scaling from marketing to supply chain to customer service, the measurement and goal-setting systems that keep all teams aligned on AI initiatives that actually move business metrics instead of just generating impressive demo videos, and the critical scaling mistakes that cost retailers millions in wasted AI spending—plus the exact steps to avoid them. While your competitors are either trapped in endless pilot programs or rushing into enterprise AI deployments that create expensive operational disasters, you'll have the tested playbook for turning scattered AI experiments into coordinated competitive advantages that compound across your entire organization.
The Anonymous Traffic Gold Mine: How AI Identity Resolution Turned 68% "Unknown Visitors" Into $4.7M BFCM Revenue
Your analytics show thousands of visitors, but 70% are complete ghosts—no email, no purchase history, just expensive traffic that walks away forever. While you're obsessing over email capture pop-ups, smart retailers are using AI to instantly identify anonymous browsers and convert them into buyers within minutes of arrival. Real-time identity resolution is matching mysterious visitors to existing customers, creating personalized experiences that feel like magic, and turning your biggest revenue leak into your most profitable channel. You'll walk away with the AI identity matching system that helped a major retailer identify 68% of "anonymous" traffic as existing customers or high-intent prospects, the instant personalization triggers that convert newly-identified visitors 340% better than generic homepage experiences, the cross-device tracking methods that capture customers who browse on mobile but buy on desktop (recovering $890K in previously lost BFCM sales), and the automated follow-up sequences that turn identified visitors into repeat purchasers even if they don't buy immediately. While your competitors are losing millions to anonymous traffic, you'll be turning every visitor into a known, trackable, convertible customer before they even realize you know who they are.
The Marketing ROI Revolution: How AI-Powered Personalization Is Turning Every Campaign Dollar Into Pure Profit
Your marketing budget is shrinking while performance expectations skyrocket, but the retailers crushing their ROI targets have discovered AI personalization engines that make every dollar work exponentially harder than traditional campaigns ever could. While you're still running broad demographic segments and generic creative, breakthrough brands are deploying intelligent systems that adapt messaging, timing, and offers in real-time based on individual customer signals—turning marketing spend into precision-targeted revenue drivers. The highest-performing marketing teams have moved beyond basic personalization into dynamic campaign optimization that continuously learns and improves, creating compound ROI gains that make their budgets stretch impossibly far. You'll walk away with live demonstrations of the AI personalization technology that's powering today's most profitable campaigns across multiple retail categories, the exact segmentation and creative adaptation strategies that leading solution providers use to help brands achieve 400% better ROI than traditional marketing approaches, real-time measurement frameworks that show you precisely which personalization elements drive revenue and which ones waste budget on vanity metrics, and the implementation roadmap that shows you how to deploy these proven technologies within your existing marketing stack for immediate performance improvements. While your competitors are still treating personalization like a nice-to-have feature, you'll have the specific technology solutions and deployment strategies that turn personalized marketing into your most profitable competitive advantage.
While You're Drowning in Digital Noise, AI Direct Mail is Converting at Higher Rates Than Your Best Email Campaigns
Your customers' inboxes are graveyards of ignored promotions, but their physical mailboxes are practically empty—creating a massive opportunity you're probably missing. Smart retailers are using AI to identify exactly which customers will respond to tangible mail, automatically generate nostalgic creative that hits emotional triggers, and send hyper-personalized pieces that feel like gifts instead of ads. You'll walk away with the AI recipient selection algorithm that pinpoints your highest-value customers who are 5x more likely to respond to physical mail than digital outreach, the automated creative variation system that generates hundreds of personalized holiday nostalgia themes tailored to individual customer preferences and purchase history, the exact timing and frequency formulas that maximize response rates while minimizing waste, and the integration strategies that seamlessly connect direct mail responses to your digital ecosystem for complete attribution tracking. While your competitors are fighting for attention in overcrowded digital channels, you'll own the physical space that customers actually notice, touch, and keep—turning forgotten direct mail into your secret conversion weapon that cuts through holiday marketing chaos.
The Supply Chain Leadership Revolution: How AI-Powered Operations Teams Are Becoming Strategic Business Drivers
Your supply chain expertise is evolving into something far more powerful as AI transforms every aspect of operations from demand forecasting to final mile delivery, and the leaders who embrace this transformation are becoming the most strategic voices in their organizations. Supply chain isn't just getting smarter—it's becoming the strategic center of retail success, where AI-enabled teams are making decisions that directly impact merchandising, marketing, and customer experience in ways that traditional operations never could. The most successful supply chain leaders are evolving from cost-focused managers into cross-functional strategists who use AI insights to influence everything from product development to pricing strategy. You'll walk away with the essential AI tools and skills that separate tomorrow's supply chain executives from today's operational managers, the cross-departmental collaboration frameworks that unlock AI's full potential by breaking down silos between supply chain, merchandising, and marketing teams, the mindset shifts that transform you from a reactive problem-solver into a proactive strategic advisor who uses predictive AI to shape business decisions, and the specific competencies you need to develop now to secure your leadership position as AI reshapes the entire supply chain landscape. While your peers are still managing yesterday's supply chain challenges, you'll be building the AI-powered strategic capabilities that make you indispensable to your organization's future success.
The Holy Trinity of Measurement: How Branch Furniture and Jordan Craig Leveraged Incrementality, MMM, and MTA to Unlock Profitable Growth
Your marketing team is drowning in conflicting attribution data while Branch Furniture and Jordan Craig cracked the code on combining incrementality testing, MMM, and MTA into a unified measurement system that actually drives profitable decisions instead of endless debates about which model is "right." Most retailers are stuck choosing between measurement approaches that each tell different stories, creating analysis paralysis while competitors who've mastered integrated measurement are scaling profitable campaigns with clarity and confidence. These two breakthrough brands stopped fighting over attribution models and started using them together strategically, creating a comprehensive measurement framework that reveals true marketing performance across every channel and campaign. You'll walk away with Branch Furniture and Jordan Craig's exact playbook for implementing complementary measurement systems that eliminate attribution conflicts and provide clear growth direction, the specific frameworks they use to identify which channels are truly driving incremental revenue versus just taking credit for sales that would have happened anyway, real case studies showing how their integrated approach helped them cut wasteful spend by 40% while doubling down on genuinely profitable marketing activities, and the practical benchmarks and implementation steps that let you build the same unified measurement system within your existing marketing stack. While your competitors are still arguing about last-click versus first-click attribution, you'll have the proven methodology for combining all measurement approaches into a single source of truth that drives consistently profitable marketing decisions.
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.
The 47% Open Rate Secret: How AI-Powered SMS Segmentation Generated $8.2M Extra Revenue This BFCM
Your generic "20% off everything" SMS blasts are getting lost in customers' 47 daily text notifications, while smart retailers are using AI to send hyper-targeted messages that feel like personal shopping advice—and converting at rates you didn't know were possible. AI segmentation is identifying micro-audiences you never knew existed, crafting urgency-driven copy that matches each customer's exact buying behavior, and timing sends down to the minute when they're most likely to purchase. You'll walk away with the AI segmentation framework that helped a $200M retailer identify 23 distinct customer micro-segments (far beyond basic demographics), the exact urgency triggers and personalized copy formulas that drove 89% higher click-through rates than standard BFCM campaigns, the optimal send timing algorithm that increased conversions by 34% simply by hitting customers' phones at their personal peak buying moments, and the 4 AI-generated message types that consistently outperform human-written SMS across every retail category. While you're sending the same tired discount texts to everyone, your competitors are already capturing the customers who would have been yours—with messages so perfectly timed and targeted they feel impossible to ignore.
The BFCM Content Sprint: How AI-Powered Last-Minute Optimizations Are Boosting Conversions 67% in Just 48 Hours
Your BFCM content is locked and loaded, but leading retailers are using AI to make strategic last-minute tweaks that dramatically outperform their original campaigns—turning the final days before launch into their most profitable optimization window instead of a stressful countdown. While you're nervously hoping your pre-planned content converts, smart brands are deploying AI tools that rapidly test and optimize headlines, imagery, and product descriptions based on real-time shopper behavior signals, discovering winning variations that would have been impossible to create manually under BFCM pressure. The retailers maximizing peak season revenue understand that speed and precision beat perfection during crunch time, using intelligent content optimization to make data-driven improvements right up until launch instead of crossing their fingers and hoping their original creative hits the mark. You'll walk away with the exact AI content optimization workflows that helped major retailers boost conversion rates by swapping underperforming elements for AI-generated alternatives in the final 48 hours before BFCM, real-world case studies of last-minute headline tests, visual swaps, and description updates that dramatically improved click-through and conversion rates when timing was most critical, the specific AI tools and rapid testing frameworks that let you safely optimize content under extreme time pressure without breaking existing campaigns or creating brand inconsistencies, and the proven eleventh-hour adjustment playbook that shows you exactly which content elements to prioritize for maximum impact when you only have hours to make improvements. While your competitors are locked into their original BFCM content and hoping for the best, you'll be running intelligent optimization sprints that turn the final countdown into your biggest competitive advantage.
The Attribution Breakthrough: How AI Multi-Touch Tracking Is Revealing the Hidden Revenue Drivers Your Current Models Are Missing
Your marketing team is making budget decisions based on attribution models that completely miss the complex customer journeys driving your best conversions, while retailers with AI-powered multi-touch tracking are discovering which campaigns actually create revenue versus which ones just steal credit from the real drivers. Traditional attribution breaks down the moment customers move between email, SMS, ads, social, and on-site experiences, leaving you blind to the true performance of your marketing mix and causing you to double down on tactics that look good in reports but don't actually drive incremental sales. The brands winning with AI attribution have moved beyond last-click and first-touch models to systems that track complete customer journeys across every touchpoint, revealing surprising insights about which combinations of channels create explosive conversion lifts that single-channel attribution completely misses. You'll walk away with proven AI attribution frameworks that helped major retailers discover 43% of their "best performing" campaigns were actually taking credit for sales driven by other channels, real case studies showing how multi-touch AI tracking uncovered hidden revenue drivers—including channels that appeared to underperform but were actually critical conversion catalysts, specific technical implementations and integration strategies that stitch together fragmented customer data into complete journey maps that update attribution in real-time as customers move between channels, and actionable optimization tactics that use AI insights to stop wasting spend on channels that don't drive true incrementality while scaling the combinations that actually create new revenue. While your competitors are still optimizing based on incomplete attribution data, you'll have the complete journey visibility that turns every marketing decision into a confident, data-driven investment in proven revenue drivers.
The Retention Lifeline: How Smart Retailers Are Turning Market Chaos Into Customer Loyalty Gold
Your customers' shopping habits are changing faster than your retention strategies can adapt, but the retailers thriving through uncertainty have discovered that disruption creates the perfect opportunity to deepen customer relationships and lock in repeat revenue when competitors are losing their grip. While most brands are cutting loyalty budgets and hoping for the best, breakthrough retailers are using market volatility as a catalyst for stronger customer connections, deploying adaptive retention strategies that turn unpredictable moments into competitive advantages. The leaders winning in this environment understand that traditional loyalty programs built for stable markets fail during disruption, but AI-driven retention systems that adapt to changing behavior patterns can actually increase customer lifetime value when everything else feels uncertain. You'll walk away with proven retention frameworks that helped retailers maintain 89% customer retention rates during major market disruptions while competitors saw loyalty plummet, real case studies of loyalty program pivots and engagement model experiments that turned potential customer losses into deeper brand connections—including which tactics backfired spectacularly and why, the specific AI-driven retention strategies that automatically adjust value propositions and messaging based on changing customer behavior patterns and market conditions, and practical examples of how leading brands reframed their value proposition to match evolving customer expectations without eroding profit margins. While your competitors are paralyzed by market uncertainty and watching their customer base shrink, you'll have the adaptive retention playbook that turns unpredictable times into opportunities to build stronger, more profitable customer relationships that survive and thrive regardless of what happens next.
The Website Crossroads: Why Your Digital Flagship Will Either Become Irrelevant or More Powerful Than Ever
Your website traffic patterns are quietly shifting as customers discover products through AI agents, social commerce, and automated shopping platforms, forcing a critical decision that will determine whether your direct-to-consumer presence becomes your strongest competitive asset or an expensive digital museum that customers rarely visit. The retail leaders thriving in this transition understand that traditional e-commerce websites are indeed dying, but smart brands are transforming their digital presence into something far more valuable—becoming content hubs, brand experience centers, and data collection powerhouses that complement rather than compete with emerging shopping channels. While some retailers panic about losing control of customer relationships, breakthrough brands are reimagining their websites as strategic orchestration centers that enhance their presence across all channels instead of trying to capture every transaction. You'll walk away with candid insights from retail leaders who are successfully navigating the website evolution, including which site functions are becoming obsolete and which ones are growing more valuable as shopping behavior changes, real-world examples of website reinvention strategies that maintain customer relationships while embracing new shopping platforms—plus expensive experiments that failed spectacularly, the specific AI-driven discovery and experience innovations that are making some brand websites more engaging and profitable than ever before, and practical frameworks for deciding which elements of your current site strategy to preserve, transform, or abandon as autonomous shopping becomes mainstream. While the industry debates whether websites have a future, you'll have the strategic clarity to evolve your digital presence into whatever form will drive the most profitable growth in the new commerce landscape.
The Last-Minute Save: How AI Churn Prediction Is Rescuing At-Risk Customers During BFCM's Final Hours
Your best customers are quietly slipping away during the biggest shopping weekend of the year, but you won't know they've churned until it's too late to save the relationship—meanwhile, smart retailers are using AI to identify at-risk subscribers and lapsed buyers hours before they disappear forever, deploying last-minute win-back campaigns that capture revenue others lose to silent churn. BFCM isn't just about acquiring new customers; it's about preventing your existing base from walking away when they're most likely to find alternatives, and the retailers mastering predictive churn prevention are turning potential losses into incremental gains that compound throughout peak season. Leading brands have deployed AI models that detect subtle behavioral signals indicating imminent churn, triggering automated win-back sequences with precisely calibrated offers that re-engage customers without training them to expect constant discounts. You'll walk away with the exact predictive churn frameworks that helped retailers identify customers 72 hours before they typically disengage, allowing for proactive retention campaigns that recovered 34% of at-risk revenue, real case studies of successful last-minute save campaigns launched during Cyber Monday's final hours—including the specific trigger points and incentive structures that convert fleeting customers back into active buyers, candid stories of win-back attempts that spectacularly backfired and the lessons learned about timing, messaging, and offer strategy that prevent expensive retention mistakes, and the complete playbook of churn alerts and automated response systems you can implement immediately to capture incremental revenue from customers who would otherwise disappear during your most critical selling period. While your competitors are focused purely on acquisition during BFCM, you'll be running sophisticated retention operations that ensure the customers you've worked all year to build don't slip away when it matters most.
The Store Revolution: How AI Floor Tech is Transforming Physical Retail
Your store associates are wandering aisles with outdated planograms while smart retailers have AI systems that instantly detect out-of-stocks, automatically prioritize restocking tasks, and arm employees with instant answers that turn browsers into buyers. Physical retail isn't dying—it's being reborn through intelligent systems that most retailers haven't even considered yet. Computer vision is quietly monitoring every shelf, AI assistants are turning part-time staff into product experts, and real-time task management is eliminating the operational chaos that kills customer experience. You'll walk away with the exact AI monitoring systems that helped major retailers slash out-of-stock incidents without adding headcount, the associate assistance tools that enable any employee to answer complex product questions with expert-level accuracy and boost conversions across all departments, the automated task prioritization that eliminates guesswork and ensures high-impact work gets done first, and the customer service enhancement strategies that turn routine store visits into personalized shopping experiences. While your competitors' stores still feel like warehouses with cashiers, you'll be operating intelligent retail environments that customers can't find anywhere else—making your physical locations competitive advantages instead of expensive liabilities.
DAY 2
Registration and Check in Breakfast Hosted by Junip
Join us for the second day of powerful insights, game-changing strategies & networking.
Morning Kick-Off
Our expert host sets the tone for an action-packed Day Two with opening insights and key industry trends. Let's go!
The Behavior Breakthrough: How AI Loyalty Programs Stop Rewarding Purchases and Start Rewarding People
Your loyalty program rewards the same boring actions for everyone—spend money, get points, repeat forever—while breakthrough retailers are using AI to understand what actually motivates each individual customer and building programs that feel personally designed. Traditional loyalty treats all customers like identical spending machines, but AI behavior modeling reveals the emotional drivers, shopping triggers, and engagement patterns that turn casual buyers into lifelong advocates. Advanced retailers are moving beyond transactional point systems to create transformational experiences that adapt to how each customer actually wants to be recognized and rewarded. You'll walk away with the AI behavior modeling framework that identifies the unique motivational profiles driving each customer segment and creates personalized loyalty journeys that speak to their specific desires, the transformational program structures that reward engagement, advocacy, and brand connection instead of just purchase frequency, the predictive systems that anticipate when customers are most likely to disengage and automatically deploy the perfect intervention to keep them connected, and the emotional intelligence algorithms that understand whether each customer craves exclusive access, social recognition, surprise rewards, or achievement milestones. While your competitors are stuck in the points-and-discounts stone age, you'll be operating loyalty programs that customers actually love participating in because they feel understood and valued as individuals.
The Website Crossroads: Why Your Digital Flagship Will Either Become Irrelevant or More Powerful Than Ever
Your website traffic patterns are quietly shifting as customers discover products through AI agents, social commerce, and automated shopping platforms, forcing a critical decision that will determine whether your direct-to-consumer presence becomes your strongest competitive asset or an expensive digital museum that customers rarely visit. The retail leaders thriving in this transition understand that traditional e-commerce websites are indeed dying, but smart brands are transforming their digital presence into something far more valuable—becoming content hubs, brand experience centers, and data collection powerhouses that complement rather than compete with emerging shopping channels. While some retailers panic about losing control of customer relationships, breakthrough brands are reimagining their websites as strategic orchestration centers that enhance their presence across all channels instead of trying to capture every transaction. You'll walk away with candid insights from retail leaders who are successfully navigating the website evolution, including which site functions are becoming obsolete and which ones are growing more valuable as shopping behavior changes, real-world examples of website reinvention strategies that maintain customer relationships while embracing new shopping platforms—plus expensive experiments that failed spectacularly, the specific AI-driven discovery and experience innovations that are making some brand websites more engaging and profitable than ever before, and practical frameworks for deciding which elements of your current site strategy to preserve, transform, or abandon as autonomous shopping becomes mainstream. While the industry debates whether websites have a future, you'll have the strategic clarity to evolve your digital presence into whatever form will drive the most profitable growth in the new commerce landscape.
The CTV Performance Revolution: How Vibe.co Is Making TV Advertising Work Like Digital for Retail Brands
Your TV advertising has always felt like a black box where you spend big budgets and hope for brand lift, while digital-savvy retailers are now using AI-powered Connected TV platforms to launch targeted campaigns in minutes and track performance with the precision of your best digital channels. The transformation of streaming TV into a measurable performance channel is happening faster than most retailers realize, creating massive opportunities for brands that can move beyond traditional TV thinking to embrace CTV as a direct-response medium that delivers both brand awareness and measurable conversions. Breakthrough retailers using platforms like Vibe.co are discovering that Connected TV combines the emotional impact and scale of television with the targeting precision and performance measurement they've come to expect from digital advertising. You'll walk away with real-world case studies showing how retail brands are launching high-impact CTV campaigns in under 5 minutes using AI-powered optimization that would have taken weeks with traditional TV buying, proven targeting strategies that reach high-intent audiences across 500+ streaming channels without the waste and guesswork of traditional broadcast advertising, specific measurement frameworks that track CTV impact from initial impressions through to final conversions, giving you clear ROI visibility that was impossible with traditional TV, and the complete CTV implementation playbook that shows you how to scale brand awareness and drive conversions simultaneously using streaming TV as a performance channel that complements and amplifies your existing digital strategy. While your competitors are still treating TV as an unmeasurable brand-building expense, you'll be running precision-targeted streaming campaigns that deliver the emotional impact of television with the accountability and optimization capabilities of your best-performing digital channels.
From Anonymous to Engaged: AI Identity Resolution for Efficient Top-of-Funnel Growth
Most shoppers stay anonymous until the moment they buy—or worse, they never convert at all. In this session, we’ll dig into how top brands are using AI-powered identity resolution to turn unknown browsers into known, engaged prospects. You’ll see how peers are stitching together cross-channel signals to recognize intent earlier, personalize faster, and drive stronger conversion at the top of the funnel. Expect candid insights on what’s working, what’s not, and how to avoid wasted ad spend while building a pipeline of high-quality, high-intent customers.
The Micro-Influencer Gold Rush: How AI Matchmaking Is Turning Unknown Creators Into BFCM Revenue Machines
Your influencer campaigns are burning budget on creators with impressive follower counts but zero actual influence over purchasing decisions, while smart retailers are using AI to identify micro-influencers whose audiences convert at rates that make traditional advertising look expensive and ineffective. The BFCM countdown creates the perfect storm where every marketing dollar must deliver immediate, measurable results, but most brands are still manually hunting through creator profiles and guessing which partnerships will actually drive sales versus just generate pretty content. Leading retailers have deployed machine learning systems that analyze audience behavior, engagement quality, and conversion patterns to identify micro-creators who consistently turn their recommendations into revenue, cutting influencer discovery time from months to days while dramatically improving campaign ROI. You'll walk away with the AI matchmaking frameworks that helped major brands identify high-converting micro-influencers 89% faster than traditional scouting methods while achieving 340% better cost-per-acquisition rates, real case studies of successful BFCM influencer activations that generated measurable revenue within 48 hours of launch—including the specific audience analysis metrics that separate real influence from vanity metrics, proven campaign activation strategies that ensure your chosen creators actually promote your products effectively instead of just posting generic sponsored content, and the critical pitfall avoidance tactics that prevent the expensive partnership mistakes that waste BFCM budgets on creators whose audiences don't actually buy. While your competitors are still manually researching influencers and hoping their partnerships will convert, you'll be deploying AI-powered creator intelligence that turns influencer marketing into a precision revenue channel that scales profitably during your most critical selling season.
LLMs, Agentic AI and Beyond: A Tactical AMA on What Actually Matters Beyond the Hype
Your executive team is drowning in AI vendor pitches promising revolutionary results, but you can't tell which technologies are genuinely transformative versus expensive solutions looking for problems—and making the wrong bets could waste millions while competitors gain irreversible advantages with the right AI investments. The AI landscape has exploded with confusing terminology around LLMs, agentic systems, and AGI that sounds impressive in presentations but leaves business leaders unable to make confident strategic decisions about which technologies deserve serious investment versus which ones are just sophisticated marketing. In this no-nonsense Ask Me Anything, you'll get straight answers to the tactical questions executives are afraid to ask, including how to evaluate AI vendor claims without getting lost in technical jargon and which specific use cases actually deliver ROI worth the implementation complexity. You'll walk away with practical frameworks for distinguishing between AI technologies that can transform your business operations versus those that are still years away from reliable commercial application, specific risk assessment criteria for evaluating AI investments including data requirements, implementation timelines, and hidden costs that vendors don't mention upfront, proven evaluation methods for spotting AI limitations and failure modes before you commit significant resources to projects that might not deliver promised results, and tactical guidance for leading informed AI conversations with your teams, boards, and vendors without needing a computer science background. This session cuts through the AI confusion with direct answers that help you make smart technology bets instead of getting caught up in the latest AI buzz while your competitors quietly implement the tools that actually drive business results.
The Customer Journey Revolution: How Smart Retailers Are Turning Every Touchpoint Into a Loyalty-Building Conversion Engine
Your customers are navigating clunky search experiences and generic product discovery while competitors are deploying intelligent journey optimization that makes every interaction feel intuitive, personalized, and designed specifically for each shopper's needs and preferences. The brands building lasting customer relationships understand that conversion optimization isn't just about removing friction—it's about creating experiences so seamlessly helpful that customers actively choose to return because no other retailer makes shopping feel quite as effortless and rewarding. Leading retailers have moved beyond basic conversion rate optimization to build comprehensive journey intelligence that anticipates customer intent, personalizes discovery experiences, and eliminates purchase barriers while simultaneously deepening brand connection and loyalty. You'll walk away with proven frameworks for implementing AI-powered search that understands customer intent before they fully express it, dramatically improving both conversion rates and customer satisfaction, real case studies of personalized discovery systems that keep shoppers engaged longer and convert browsers into buyers while building preference for your brand over competitors, specific conversion optimization strategies that eliminate checkout friction without sacrificing the relationship-building touchpoints that turn one-time buyers into lifetime customers, and practical tools and implementation approaches that turn your entire customer journey into a competitive advantage that drives both immediate sales and long-term loyalty. While your competitors are optimizing individual conversion points in isolation, you'll be creating cohesive customer experiences that make shopping with your brand feel so superior that customers become advocates who actively recommend you to others and resist competitive offers.
Personalization in 2026: How Generative AI Can Turn Every Customer Touchpoint Into Revenue Gold
Your customers are experiencing hyper-personalized interactions everywhere else online, making your static website and generic email campaigns feel like relics from 2010—and they're choosing competitors who make them feel individually recognized at every step. The retailers winning today have deployed generative AI across their entire customer lifecycle, creating dynamically personalized experiences that adapt in real-time to each visitor's behavior, preferences, and intent signals. Leading brands are generating custom creative, personalized promotions, and individualized site experiences automatically, but the real winners have learned exactly where AI personalization drives massive revenue versus where it wastes resources on features customers don't actually value. You'll walk away with the proven AI personalization strategies that are generating 340% higher conversion rates across the customer journey, real case studies of personalization wins and expensive failures—including which touchpoints deliver immediate ROI and which ones customers ignore completely, the specific generative AI tools and frameworks that create individualized experiences without destroying site performance or creating brand inconsistencies, and the implementation roadmap that shows you exactly where to start personalizing for maximum revenue impact versus where to avoid wasting time and budget. While your competitors are still sending the same promotions to everyone and showing identical homepages to all visitors, you'll be creating individually tailored experiences that make every customer feel like your brand was built specifically for them.
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.
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