The Digital Edge: Inside Retail and Ecommerce with Ellie Ronning

The sale isn't the finish line. In this live episode recorded in Nashville during Shoptalk Fall and MAG Payments, host Ellie Ronning talks with Jason Ma of 17Track about what really builds loyalty after the customer clicks buy.17Track is the carrier tracking and delivery visibility infrastructure that helps retailers, marketplaces and 3PLs keep customers informed. With over a decade in retail tech including AfterShip and Narvar, Jason has seen the post-purchase experience from just about every angle.Ellie and Jason talk through:Why returns can be a revenue center instead of a cost centerPersonalized returns and reducing friction for your best customersCombating returns abuse and fraud without penalizing loyal buyersWhy contextual product data matters as shoppers turn to AI searchHow AI agents may rank stores by delivery speed over brand loyaltyWhy both hosts still hesitate to let an agent check out for themWhy transparency is the most important thing a merchant can offerThe Digital Edge is your inside look at retail and ecommerce with host Ellie Ronning from Signifyd. Follow the show for new conversations on retail, ecommerce and the future of commerce.

Agentic commerce is all anyone in ecommerce is talking about. But most merchants are still figuring out what it actually means and what they should be investing now.In this episode, host Ellie Ronning sits down with Saif Malik, VP of Product at Signifyd, to break down the three modalities of agentic commerce, where the real fraud and risk exposure lives, and why solving for product discoverability is the most important first move merchants can make right now.Saif and Ellie cover the OpenAI instant checkout story, Google's Universal Commerce Protocol, Shopify's product syndication strategy, and what it means for fraud teams when an AI agent is doing the shopping instead of a human.If your board has asked what your agentic commerce strategy is and you're not sure where to start, this episode will bring you fully up to speed.Guest: Saif Malik, VP of Product at SignifydHost: Ellie RonningThe Digital Edge is Signifyd's podcast for ecommerce executives. New episodes monthly wherever you get your podcasts.

Ecommerce strategy in 2026 looks very different depending on who your customer is — and Signifyd Chief Customer Officer Bennett has the data and the conversations to prove it.In this episode of The Digital Edge, Bennett joins host Ellie Ronning to break down the state of the consumer, what enterprise retailers are actually doing about tariffs and supply chain disruption, and why agentic commerce is the biggest brand discovery opportunity since the rise of Google SEO.Topics covered:The barbell economy: why the middle market is hollowing out and what it means for retail strategyConsumer spending trends: credit card debt, falling purchase frequency, and the limits of trading downTariffs and supply chain: how enterprise ecommerce brands are absorbing costs and building resiliencePersonalization as margin defense: how to serve price-sensitive and affluent consumers differently — and why it matters for profitabilityAgentic commerce and AI: how AI-driven product discovery is reshaping ecommerce and what brands need to do now to show upPricing segmentation: why it's the most important fundamental for ecommerce leaders in the current economic environmentBennett is the Chief Customer Officer at Signifyd, where he works directly with enterprise ecommerce and retail leaders across every major vertical. He brings together firsthand conversations with executives and access to some of the most comprehensive transactional data in commerce.The Digital Edge is Signifyd's monthly podcast for ecommerce leaders and retail executives. Signifyd is the Commerce Protection Platform helping the world's leading ecommerce brands approve more orders, improve the customer experience and protect against fraud and abuse. Learn more at signifyd.com.

The hype around agent commerce is loud. But what's actually happening for ecommerce operators right now?In this episode, host Ellie Ronning sits down with Javier Marimon, VP of Ecommerce at Felina — a 40-year-old intimate apparel brand navigating the very real challenges of AI adoption without a large tech team behind them. Javier brings a rare blend of product management depth and hands-on ecommerce operations experience, having led digital at Hudson's Bay, Hot Topic, and Aloe before landing at Felina.Together, they unpack the gap between the media narrative around agent commerce and the on-the-ground reality for merchants — and where the real opportunities are hiding.In this episode:- Why product data quality is now your most important AI readiness factor — and how Javier is reverse-engineering customer search intent to close the gap at Felina- How Shopify's integration with ChatGPT, Copilot, and Claude is changing what small and mid-sized brands need to think about today- The three stages of agent-assisted commerce — from AI-informed discovery to fully automated transactions — and why most merchants are still in stage one- Why first-party data and customer opt-ins become a real concern as AI agents sit between shoppers and your storefront- The returns data opportunity that most merchants are sitting on but haven't yet figured out how to make actionable- How brand loyalty and emotional purchase categories like apparel and lingerie will likely resist full agent automation — and what that means for your channel strategy- Where Javier is already using AI inside Felina's operations, including building an inventory planning tool himself in less than a dayIf you're an ecommerce leader trying to cut through the noise and figure out where to actually focus your energy over the next 18 to 24 months, this is a conversation worth your time.Javier's parting advice: be curious, get your hands dirty, and before you buy another vendor solution, ask yourself if AI can just do it.---The Digital Edge is brought to you by Signifyd, the Commerce Protection Platform trusted by some of the world's leading ecommerce brands. Learn more at signifyd.com.

Agentic commerce isn't coming — it's already here. And for ecommerce executives, the window to get ahead of it is now.In this episode, host Ellie Ronning sits down with Kelli Lin, VP Commerce at Glance, for one of the most grounded, no-hype conversations on AI agents and ecommerce you'll find anywhere. Kelli brings 20+ years of perspective from owning a retail store in NYC, to launching in-store tech at Macy's and Bloomingdale's, to eight years at Google Shopping and she knows exactly where the reality ends and the buzzword begins.Here's what's on the table: 50% of consumers say they're likely to try a new or different brand if an AI agent recommends it. That's not a small number. That's a brand loyalty earthquake and most merchants aren't ready for it.In this conversation, Ellie and Kelli get into the evolution of agent search and discovery, why today's agent interfaces are only about 20% of the way to where shopping experiences need to go, what merchants should actually be doing right now to prepare, and why agentic commerce is less a new channel and more a collision of search and social with AI at the center.If you're an ecommerce or retail executive trying to cut through the noise on AI—this one's for you.

The retail landscape has officially fractured into a K-shaped recovery. Welcome to the "Whale Economy."With fewer customers spending more money, the old retail playbook is dead. Merchants can no longer make up lost margins through sheer volume.In this episode of The Digital Edge, host Ellie Ronning breaks down the brutal truths of the 2026 State of Commerce Report.Ellie is joined by Grace Olson-Davidson (Partner Marketing Manager), Mike Cassidy (Head of PR & Storytelling), and Vito Petruzzelli (Ecommerce Risk Consultant).They explore the widening gap between high and low spenders, why luxury surged 19% while beauty tanked, and why decision accuracy matters more now than ever before.👇 WHAT WE COVER:🔹 The K-Shaped Shift: Unpacking the massive divide in consumer spending.🔹 Decision Accuracy: Why you can't survive the "Whale Economy" without flawless risk models.🔹 AI & Agentic Consumers: How technology adoption is separating the retail winners from the laggards.⏳ EPISODE CHAPTERS:00:00 - Intro: Welcome to The Digital Edge01:30 - Meet the Panel: Mike, Vito, and Grace04:15 - Breaking Down the "Whale Economy"09:20 - The K-Shaped Retail Recovery (Luxury vs. Beauty)15:45 - Why Merchants Can't Make it Up in Volume Anymore22:10 - Decision Accuracy and the Margin Crisis28:30 - How Agentic Commerce Separates Winners from Laggards34:35 - Outro: The Future of Ecommerce Partnerships🔗 Connect with Ellie on LinkedIn: https://www.linkedin.com/in/ellieronning/🔗 Connect with Grace on LinkedIn:https://www.linkedin.com/in/graceodavidson/🔗 Connect with Mike on LinkedIn: https://www.linkedin.com/in/mikecassidy/🔗 Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitoatsignifyd/

The Attribution Crisis: How AI Agents Are Blinding Retail DataSearch has changed forever, and it is quietly stripping retailers of their most valuable asset: customer data.When shoppers bypass Google to search directly through AI agents like ChatGPT or Claude, merchants are left completely blind to the referral source. In this episode of The Digital Edge, host Ellie Ronning is joined by Grace Olson-Davidson, Mike Cassidy and Vito Petruzzelli to break down the urgent data ownership problem created by the rise of Agentic Commerce.The panel unpacks how losing referral visibility renders traditional marketing attribution models useless, forces brands to cannibalize each other in shared inventory pools, and drives up customer acquisition costs. If you cannot track where your customers are coming from, you cannot optimize your spend.Key Takeaways:The Agentic Commerce Blind Spot: Why you have zero visibility into orders referred by AI chatbots.How syndicating inventory forces brands into direct competition for the same searches.The Journalist’s Imperative: How to reclaim your data by mastering exactly who your customers are and how they arrive.🔗 Connect with host Ellie Ronning on LinkedIn to access the resources and join the conversation:https://www.linkedin.com/in/ellieronning/

Brands now face a critical challenge - they must "code their vibe" so AI agents can understand and recommend their products. Alicia Chaffee, Head of Strategy at Dôen, breaks down how retailers are navigating agentic commerce and what it really takes to succeed in this new landscape.While everyone talks about agentic commerce, most retailers are still figuring out what it actually means. The reality is brands need to translate everything that makes customers feel connected - from website energy to product personality - into data tags that AI can process. This feels clinical compared to the emotional brand experiences retailers want to create.The shift from traditional search to agent-powered discovery changes everything. Instead of optimizing for Google keywords, brands must ensure their unique differentiators are clearly defined and accessible to AI systems. The companies that can articulate what makes them special offline will have the easiest time translating that into the digital agentic world.Unified commerce becomes essential as retailers prepare for agent interactions. Unlike omnichannel, which focuses on consistent customer experiences across channels, unified commerce pools all data and inventory into one system. This eliminates silos between online and brick-and-mortar operations, creating a single source of truth that AI agents need to function effectively.The conversation also covers how AI can transform internal operations beyond customer-facing applications. From demand forecasting to dynamic pricing, AI enables more precise, predictive decision-making rather than reactive responses. The key is connecting data insights directly to the people who can take action and test new approaches.Key topics covered:[00:00] Intro[04:42] Retailers embrace AI but lack readiness[08:51] Coding brand vibes for AI discovery[11:28] Brand loyalty changes agent shopping behavior[16:22] Unified commerce versus omni channel strategy[18:01] Inventory accuracy challenges for AI agents[20:39] Brand differentiation beats keyword stuffing[23:29] AI optimism over workforce replacement fears[25:05] Forward looking metrics beat hindsight analysis[27:17] Breaking silos between data and decisions[28:42] Test brand uniqueness with AI assistantsSubscribe for more retail and ecommerce insights that matter to your business.

Ellie Ronning from Signifyd breaks down the reality of agentic commerce after NRF 2025, where 40,000 retail professionals gathered to discuss the future of shopping. Despite all the AI hype, most merchants are still in baby phases when it comes to implementing agentic commerce solutions.The biggest revelation: there's a massive gap between AI-powered product discovery and actual purchasing. While consumers can search for leather jackets on ChatGPT and get personalized recommendations, they can't complete the transaction in that same session. This disconnect is costing retailers attribution and revenue.Shopify made waves with their major announcement about product syndication across agentic platforms, automatically including their merchants in AI shopping results. But this creates new challenges around brand adjacency and competition that many retailers haven't considered.Meanwhile, larger brands like Target are developing their own agentic commerce solutions through partnerships with ChatGPT, while smaller merchants feel abandoned by Shopify's push upmarket. Some are even leaving for competitors like Storeline that focus on SMB relationships.The personalization opportunity extends beyond purchase behavior into returns experiences, where merchants have rich data but aren't leveraging it effectively. The key is treating best customers consistently throughout their entire journey, not just at point of sale.Key topics covered:[00:00] Intro[00:43] Merchants confused by agentic commerce[01:25] NRF networking beats scheduled meetings[02:22] Merchants overwhelmed by tech options[04:31] Agentic commerce becomes new buzzword[05:31] Retailers still in AI baby phase[06:49] Discovery to transaction gap exists[08:47] Shopify announces product syndication strategy[10:35] Brand adjacency creates competition concerns[11:23] Target partners with ChatGPT directly[13:07] Agentic commerce as fourth sales channel[14:17] Estee Lauder migration signals enterprise shift[15:23] SMB brands abandon Shopify platform[17:29] Scaling issues plague enterprise merchants[18:52] Returns personalization drives customer retention[20:26] Retail adapts despite constant challengesDespite the challenges and confusion around agentic commerce, retail continues to adapt and evolve. Merchants always find ways to move forward, even when facing new technologies they don't fully understand yet.Subscribe for more insights on retail technology, ecommerce trends, and the future of shopping from industry leaders.

Returns peak is the new reality retailers face every January and February, creating bigger operational challenges than holiday shopping season itself. After years of offering free returns to compete during the COVID boom, retailers are discovering these policies are unsustainable as sales normalize but return costs remain high.Ellie Ronning breaks down why 72% of retailers are rethinking their return strategies and moving toward personalized approaches. She explains how smart retailers are using customer segmentation to offer different return experiences - from "keep the item" policies for low-value products to prepaid return fees bundled with shipping insurance.The shift represents a fundamental change from the 2020-2022 era when massive sales growth masked return processing costs including labor, shipping, packaging, and fraud prevention. Now retailers must balance customer satisfaction with profitability using data-driven decisions about which returns to approve, which customers to charge fees, and how to reduce controllable return factors.Key strategies include AI-powered fraud detection, selective appeasement based on customer history, and upstream photo verification to catch fraudulent claims before processing. The most successful retailers are analyzing daily sales data right now to refine their return policies for 2025, rather than waiting for post-holiday reports.Key topics covered:[00:00] Intro[00:46] Returns peak follows holiday peak[02:20] COVID trained consumers to expect free returns[04:02] Hidden costs of processing returns[05:17] Tariffs drive retailers to recoup costs[06:18] Keep the item strategy saves money[07:13] Prepaid return fees through insurance[08:12] Personalized returns without customer backlash[11:18] Merchandising insights reduce return rates[12:21] Controllable versus uncontrollable return factors[14:05] Selective appease prevents claim abuse[16:19] AI deflects manual review workload[17:35] Photo proof technology catches fraud[19:34] Daily data synthesis informs return strategy[20:30] Refining policies for 2026 peakLearn more about intelligent returns solutions at signifyd.comSubscribe for more retail strategy insights and ecommerce operational best practices. Hit the notification bell to stay updated on the latest trends shaping digital commerce.The Digital Edge brings you inside conversations with retail and ecommerce leaders navigating the evolving landscape of digital commerce, customer experience, and operational excellence.