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  • Green Goo Is Reinventing Plant-Based First Aid and Personal Care | Jodi Scott

    Green Goo Is Reinventing Plant-Based First Aid and Personal Care | Jodi Scott
    2026/04/21

    Jodi Scott, CEO and co-founder of Green Goo by Spry Life, shares her journey in creating plant-based first aid and personal care products. She discusses the challenges and triumphs of entrepreneurship, the importance of efficacy in natural products, and how her family plays a crucial role in the business. Jodi also addresses the impact of economic changes and tariffs on her company, and how technology, particularly AI, is helping to scale operations. The conversation highlights the significance of clean living and the potential of plant-based solutions in the health and wellness industry.


    Takeaways

    • Green Goo focuses on plant-based first aid and personal care products.
    • The company aims to provide effective alternatives to chemical-laden products.
    • Jodi's sister, an herbalist, plays a key role in product development.
    • The manufacturing process protects the integrity of the plants used.
    • Green Goo products are designed for multiple uses, reducing the need for many items.
    • Jodi's entrepreneurial journey began unexpectedly with a bed and breakfast.
    • The company scaled rapidly, reaching 150,000 distribution points in five years.
    • COVID-19 forced the company to pivot and adapt its business model.
    • AI and technology are being leveraged to improve efficiencies.
    • Family involvement is central to the company's operations and culture.


    Chapters

    00:00
    Introduction to Green Goo and Jodi Scott

    02:01
    The Birth of Green Goo: A New Approach to First Aid

    05:16
    The Efficacy of Plant-Based Solutions

    07:03
    Jodi's Entrepreneurial Journey

    10:11
    Scaling the Business: Challenges and Triumphs

    11:48
    Navigating Business Partnerships and Buybacks

    12:42
    Leveraging Technology for Growth

    14:13
    Family Involvement in Business

    16:03
    Adapting to Economic Changes

    17:58
    Impact of Tariffs on Business

    19:18
    Closing Thoughts and Shameless Plug
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    19 分
  • Live from Shoptalk: How Signifyd Is Redefining E-Commerce Fraud Protection Beyond the Checkout

    Live from Shoptalk: How Signifyd Is Redefining E-Commerce Fraud Protection Beyond the Checkout
    2026/04/17

    Fraud doesn't sleep, and neither does the challenge of keeping good customers happy while stopping bad actors in their tracks. In this live episode of Talk Commerce, recorded on the floor of Shoptalk in Las Vegas, host Isaac Morey sat down with Nicole Jass from Signifyd for a candid, fast-moving conversation about what it really takes to protect an e-commerce business today — without driving away the customers you've worked hard to earn.


    From machine learning and consortium data models to agentic commerce and instant refunds, Nicole covers the full spectrum of what modern fraud protection looks like — and why it's about so much more than just stopping a bad transaction.

    Key Takeaways

    • Fraud protection should grow revenue, not just cut losses. Signifyd helped Lenovo increase top-line sales by 4–5% by reducing false declines alongside fraud.
    • The consortium model is a force multiplier. Sharing fraud signals across thousands of merchants means that stopping one bad actor protects everyone on the network simultaneously.
    • Not all bots are bad anymore. Agentic commerce is changing how merchants need to think about automated traffic, and Signifyd is already preparing for that shift.
    • Returns are the next fraud frontier. Instant refunds are a loyalty-building tool — but only when merchants can tell the difference between a genuine return and someone shipping a box of rocks.
    • Scaling fraud teams with people alone won't work. As businesses grow, "Katie reviewing transactions" isn't a sustainable strategy. Machine learning fills the gap efficiently.
    • The customer experience IS the product. Every decline, every friction point, every delayed refund is a moment of truth that either builds or breaks brand loyalty.
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    12 分
  • Live From Shoptalk: Getting Your Brand Ready for Agentic Commerce with Amera Khalil

    Live From Shoptalk: Getting Your Brand Ready for Agentic Commerce with Amera Khalil
    2026/04/16
    Recorded live at Shoptalk Spring 2026 by host Isaac Morey, the conversation features Amera Khalil, Director of Strategic Account Management at Commerce — the parent brand behind Feedonomics, BigCommerce, and MakeSwift. Together, they cover what brands actually need to do to stay visible as AI-powered discovery takes over consumer behavior. It's a practical, no-fluff conversation that's worth your time whether you're running a lean SMB operation or managing enterprise-level feeds.Key TakeawaysData quality is the foundation. Before any AI strategy works, your product feeds need accurate titles, descriptions, sizes, and attributes.Enriched data isn't one-size-fits-all. Enrichment requirements vary by brand, category, and channel — and they need to match today's conversational search queries.Agentic commerce is already operational. Commerce built a fully functional agentic checkout experience for PacSun on Perplexity in under 30 days.Don't deploy AI for AI's sake. Without a clear business objective, AI implementation creates confusion rather than results.SMBs need to act now. LLM visibility isn't exclusive to enterprise brands — smaller businesses can start preparing today.Human oversight isn't optional. Quality assurance guardrails protect brand integrity and keep AI-generated content on point.Have AI conversations out loud. Brands strategizing behind closed doors miss partners who may already have the solutions they need.Episode SummaryAmera opened by describing Commerce's three-brand structure. Feedonomics handles intelligent product feed management, BigCommerce powers flexible e-commerce experiences, and MakeSwift enables agile front-end design. She described Feedonomics' core value simply: taking complex data, making it clean and structured, and distributing it intelligently across every relevant channel.From there, Isaac asked the big question: how is AI changing e-commerce? Amera's answer was direct. The traditional marketing funnel — performance ads, tracking, attribution models — is collapsing. Consumers are now using Perplexity, ChatGPT, and Claude not just for research but for actual purchase decisions. "The biggest change in e-commerce," she noted, "is the preparation to be visible on these LLMs while maintaining the quality of your data."She broke agentic commerce readiness into clear layers. First, brands need solid foundational data — accurate product titles, descriptions, brand names, sizing. Without that, nothing else works. On top of that, brands need enriched data that responds to how people actually search today. Nobody's typing "suitcase" anymore. They're saying something like, "I'm going on a trip, I want something light, and I tend to overpack." Product data has to meet that kind of specificity.Interestingly, she was candid about the complexity of getting onto LLM channels: "Just because you're a brand doesn't mean that your feed is going to be accepted." Approval processes are real hurdles, and the backend requirements — syncing inventory, enabling checkout, integrating payments — go well beyond what most marketing teams expect.The PacSun case study was the episode's standout moment. Commerce built a complete agentic checkout experience for PacSun on Perplexity in under 30 days, during the holiday season. Shoppers could find PacSun jeans, select their size, and check out via PayPal — receiving a confirmation email from PacSun directly. "This is thrilling," Amera said, "because it's changed the way that we are looking at our expectations as consumers."On AI risks, she stressed quality assurance. Feedonomics uses internal benchmarking systems that flag AI-generated content not meeting brand standards before it goes live. She also flagged a generational nuance: Gen Z consumers can detect cold, scripted AI content, and they don't respond well to it. Adjusting content based on audience expectations isn't a nice-to-have — it's essential.For SMBs, her advice was to start with a data audit. Centralize your assets, identify missing fields, and find a feed partner who can submit requests to LLMs on your behalf. As she put it, "even if you're small, medium, or you're the big kahunas in the industry, you have to be present and you certainly have to be visible."Final ThoughtsIn this new era, AI agents act on behalf of shoppers — searching, comparing, and even checking out across multiple channels, often without ever visiting a merchant's website. These AI-driven experiences are seamless, contextual, and increasingly the default for how consumers interact with commerce online. Amera's message throughout this episode is clear: preparation beats hesitation every time.So here's the question worth sitting with — if your brand's data isn't ready for an agent to read it, how feed-y is your commerce strategy for what's already here?This has been produced in cooperation with Content Cucumberhttps://www.contentcucumber.com/Chapters00:00:00 — Introducing Amera Khalil and ...
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    18 分
  • How Wix eCommerce is Redefining Dropshipping Through Supplier Platforms with Jill Sherman

    How Wix eCommerce is Redefining Dropshipping Through Supplier Platforms with Jill Sherman
    2026/04/14

    In this episode of Talk Commerce, Jill Sherman from Wix discusses her journey from founding Modalyst to leading a division at Wix. She explains the drop shipping model, the importance of data-driven decisions, and how AI is revolutionizing e-commerce. Jill emphasizes the need for personalization and trust in online stores, and highlights Wix's innovative tools that empower entrepreneurs to build and scale their businesses effectively. The conversation also touches on the future of e-commerce and the role of storytelling in creating meaningful customer experiences.


    Takeaways

    Jill Sherman runs a division at Wix focused on drop shipping.
    Modalyst was one of the largest drop shipping platforms before being acquired by Wix.
    Traveling with her kids is one of Jill's passions.
    Data-driven decisions are crucial for business growth.
    Drop shipping allows merchants to sell without holding inventory.
    AI can enhance the efficiency of drop shipping operations.
    Personalization is key to building trust with customers.
    Wix offers tools to help entrepreneurs create and manage their online stores.
    The future of e-commerce will heavily involve AI integration.
    Storytelling is essential for successful e-commerce businesses.


    Chapters

    00:00 Introduction to Jill Sherman and Wix
    02:16 Jill's Journey: From Retail to Dropshipping
    04:43 Understanding Dropshipping and Its Integration with Wix
    06:19 The Role of AI in Dropshipping
    09:35 Starting a Dropshipping Business: Key Strategies
    11:25 Building Trust and Personalization in E-commerce
    13:30 Wix's AI Tools for E-commerce
    16:40 Future Trends in E-commerce and Wix's Vision
    19:01 The Importance of Storytelling in E-commerce
    20:03 Closing Thoughts and Future Innovations
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    21 分
  • Achieving Unified Commerce Strategies for Retail Success with Thomas Lichtwerch

    Achieving Unified Commerce Strategies for Retail Success with Thomas Lichtwerch
    2026/04/07


    In this episode of the Talk Commerce podcast Live from Shoptalk, host Isaac Morey sits down with Thomas Lichtwerch from Manhattan Associates during the vibrant Shoptalk Las Vegas conference. This conversation addresses the evolving demands of today’s retail environment, specifically focusing on the critical shift toward unified commerce. By analyzing data from a recent industry report, they break down the current state of retailer capabilities, the practical impact of customer experience on revenue, and how smaller brands can strategically position themselves to compete effectively in a landscape where consumer expectations are shifting at an unprecedented pace.


    Key Takeaways

    • The Unified Commerce Gap: A significant majority of retailers—roughly two-thirds of the 400 studied—currently occupy the lower performance brackets, indicating widespread room for improvement in seamless omnichannel operations.
    • Revenue Impact: Enhancing the customer experience correlates directly with tangible financial outcomes, with incremental growth opportunities identifiable for every billion dollars of revenue generated.
    • Evolving Loyalty: Customer loyalty is declining as consumers have more options, easier mobile shopping experiences, and greater exposure to new brands via social platforms, making consistent service essential for retention.
    • The AI Advantage: Artificial intelligence serves as a powerful tool for rapidly synthesizing massive data sets, enabling retailers to personalize shopping interactions, drive store traffic, and streamline returns without tedious manual queries.
    • Mid-Market Agility: Unlike larger enterprises often constrained by complex legacy systems, smaller and medium-sized businesses possess a unique opportunity to adopt cutting-edge technology and integrate modern, flexible systems more rapidly.


    Episode Summary

    During the discussion, Thomas highlights a notable finding from a four-year report involving 400 retailers across North America, EMEA, and Latam. Utilizing a third-party approach, the study evaluated various consumer experiences, from online purchasing to in-store returns. Thomas notes, "Really, 2/3 of the retailers that out of the 400 are scoring in the lower or the second lowest bracket." He emphasizes that closing this gap is not merely a technical exercise but a financial necessity, as improving these scores creates measurable incremental growth.


    The dialogue pivots to the role of technology, specifically the influence of artificial intelligence. Thomas points out that AI is revolutionizing how retailers interact with data, moving beyond slow, manual queries to immediate, actionable insights. "AI overall, obviously what AI can really help is data," he explains. He further highlights that the blueprint for success varies by region, noting how consumers in different parts of the world, such as those in Latin America utilizing WhatsApp, engage with brands differently, necessitating tailored regional approaches rather than a rigid, one-size-fits-all strategy.


    Final Thoughts

    The retail sector is currently experiencing a period of intense transformation. While the pressure to innovate is high, the accessibility of microservices and API-driven technology provides a path forward for brands that remain adaptable. Ultimately, the question for retailers is not just about keeping pace with current trends, but whether they are leveraging their data effectively enough to future-proof their unified commerce against the next wave of disruption.


    This has been produced in cooperation with Content Cucumber
    https://www.contentcucumber.com/
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    10 分
  • Scaling International Brands in the US Market with Bashak Ilhan

    Scaling International Brands in the US Market with Bashak Ilhan
    2026/04/07

    In this episode of Talk Commerce, Brent Peterson interviews Bashak Ilhan, founder and CEO of Road Group. They discuss Bashak's entrepreneurial journey, her passion for global business, and the intricacies of building brands for the US market. The conversation covers various topics including the challenges of e-commerce, the impact of tariffs, and the importance of emotional value in branding. Bashak shares success stories of brands that have thrived in the US and emphasizes the role of AI in shaping the future of shopping. She encourages aspiring brands to pursue their dreams and offers her expertise in navigating the complexities of the market.


    Takeaways

    Bashak Ilhan is an experienced entrepreneur with a passion for global business.
    Road Group helps international brands enter the US market.
    Understanding market differences is crucial for brand success.
    Amazon is a competitive platform that requires strong branding.
    US customers have higher return rates compared to other markets.
    Tariffs and shipping challenges impact European brands entering the US.
    Brands must be prepared for high volume when entering big box retail.
    Success stories highlight the potential for growth in the US market.
    AI is transforming the e-commerce landscape.
    Emotional value is becoming increasingly important in consumer purchasing decisions.

    Chapters

    00:00 Introduction to Bashak Ilhan and Road Group
    02:51 Bashak's Entrepreneurial Journey and Motivations
    05:21 Client Engagement and Brand Building Strategies
    08:17 Navigating Market Differences: US vs Europe
    11:01 Success Stories and Brand Growth
    13:34 The Future of E-commerce and AI
    16:23 Closing Thoughts and Contact Information
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    19 分
  • Live from Shoptalk Transforming Marketing Strategies with AI | Karen Wood

    Live from Shoptalk Transforming Marketing Strategies with AI | Karen Wood
    2026/04/06


    In this episode of the Talk Commerce podcast Live from Shoptalk, host Isaac Morey speaks with Karen Wood, the Chief Marketing Officer at Treasure Data. Filmed directly from the bustling show floor at Shoptalk in Las Vegas, this episode explores the practical application of artificial intelligence in modern marketing. The conversation highlights how businesses—ranging from mid-sized companies to large enterprises—can leverage their existing data to drive customer loyalty, identify brand advocates, and drastically improve operational efficiency.


    Key Takeaways

    • Data Utilization: Many companies possess vast amounts of customer data but fail to maximize its potential for repeat business and loyalty.
    • Identifying Advocates: Advanced propensity modeling and AI allow brands to identify potential and current brand advocates by synthesizing real-time data across various channels, including web activity and physical store interactions.
    • Efficiency Gains: By utilizing AI, tasks that previously required weeks of work—such as audience segmentation and campaign activation—can now be executed in minutes using natural language commands.
    • Mid-Market Support: Medium-sized businesses, which often have smaller, strapped teams, stand to benefit most from all-in-one AI marketing platforms that enable them to do more with fewer resources.
    • The Reality of AI: Genuine expertise in AI is still evolving; successful adoption relies on continuous learning, testing, and incorporating real-world feedback into product development.


    Chapter Minutes:

    • 00:00 Introduction to Talk Commerce at Shoptalk
    • 00:16 Understanding the Treasure Data platform
    • 00:41 Unlocking customer data opportunities
    • 01:42 Identifying and cultivating brand advocates
    • 02:27 Integrating AI into the marketing stack
    • 04:14 AI solutions for mid-market businesses
    • 05:48 Introduction to the Marketing Super Agent
    • 06:55 Karen Wood's hot take on AI adoption
    • 07:54 Reflections on the Shoptalk experience


    This has been produced in cooperation with Content Cucumber
    https://www.contentcucumber.com/
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    9 分
  • Live from Shoptalk Implementing Agentic Commerce for Business Growth with Dan Wagner of Rezolve AI

    Live from Shoptalk Implementing Agentic Commerce for Business Growth with Dan Wagner of Rezolve AI
    2026/04/03
    In this episode of Talk Commerce, Isaac Morey hosts a conversation recorded directly from the floor of Shoptalk in Las Vegas. The discussion features Dan Wagner, the founder and CEO of Rezolve AI, who provides insights into the rapidly evolving landscape of retail technology. The pair explores the essential role of agentic commerce, addressing how businesses must adapt to the shifting expectations of consumers who demand more conversational and intuitive shopping experiences.Key TakeawaysUrgency of Adoption: Businesses must integrate agentic commerce immediately because AI-driven search agents will exponentially increase the volume of traffic directed toward e-commerce sites.The Hallucination Barrier: Standard large language models often struggle with accuracy, making them unfit for commerce; Rezolve AI focuses on proprietary technology to ensure reliability.Conversational Search: The traditional method of filtering through hundreds of products is becoming obsolete, replaced by natural language queries that mimic a helpful in-store sales assistant.Infrastructure Requirements: Preparing for the future requires robust database architecture capable of handling trillions of interactions rather than mere billions.Personalization Standards: The necessity for consumers to navigate to a second page of search results indicates a failure in current site personalization technology.Episode SummaryThe conversation opens with an assessment of the current state of e-commerce. Dan explains that the industry stands on the precipice of a massive transformation driven by AI agents. Unlike manual shopping, where a consumer might visit a handful of websites, future AI agents will interrogate hundreds of sites simultaneously to deliver precise product recommendations. Dan notes, "The volume of search activity that e-commerce is going to see is going to go through the roof very fast." He warns that businesses failing to prepare for this influx risk site failure and lost revenue.When discussing the reliability of AI, Dan addresses the industry-wide challenge of hallucinations. He highlights that standard models are not designed for the 24/7, high-stakes environment of active retail sales. Rezolve AI has dedicated nine years to developing a solution that mitigates these errors, positioning the company as a leader in creating technology that is truly fit for commercial purposes.The dialogue shifts toward the changing behavior of shoppers. Dan argues that the traditional, static e-commerce model is nearing its end of life. Consumers prefer natural, conversational interactions, similar to speaking with a human salesperson. He states, "The progression of a natural interaction with sales agents, Gen AI salespeople, is human nature." By focusing on this shift, Rezolve AI aims to replace inefficient search filters with experiences that present the user with only the most relevant options, eliminating the need for page-two browsing.Looking forward, Dan emphasizes the importance of infrastructure. Rezolve AI has invested in distributed database architectures to manage the projected transition from billions to trillions of interactions. This commitment ensures that their partners remain functional even as traffic patterns become significantly more complex.Final ThoughtsThe insights shared by Dan Wagner illuminate a critical transition period for retailers. Companies that prioritize conversational engagement and robust backend infrastructure today will likely define the commerce landscape of tomorrow. As the industry shifts toward these automated, intelligent systems, leaders must ask themselves if they are building a strategy that treats AI as a novelty or as the core engine of their growth, proving that in this new era, your strategy must be truly .Connect with Dan on LinkedIn: https://www.linkedin.com/in/dan-wagner/This has been produced in cooperation with Content Cucumberhttps://www.contentcucumber.com/Follow Talk Commerce on your favorite platform:YouTube: https://www.youtube.com/@talkcommerceBluesky: https://bsky.app/profile/talkcommerce.bsky.socialApple Podcasts: https://podcasts.apple.com/us/podcast/talk-commerce/id1561204656Spotify: https://open.spotify.com/show/7Alx6N7ERrPEXIBb41FZ1nTwitter: @talkingcommerceLinkedIn: https://www.linkedin.com/company/talk-commerceFacebook: https://www.facebook.com/talkingcommerceWebsite: https://talk-commerce.com/
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    10 分