{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Talk Commerce","title":"Live from Ecom Forum: Sharon Gee Is Transforming Ecommerce with AI and Agentic Commerce ","html":"","width":"100%","height":180,"duration":1239,"description":"In this episode of Talk Commerce recorded live from Ecom Forum in Minneapolis, host Brent Peterson sits down with Sharon Gee, Senior Vice President of Product at Commerce, to discuss how artificial intelligence and agentic commerce are reshaping ecommerce. Sharon oversees AI offerings across BigCommerce, Feedonomics, and Makeswift, bringing insights on how merchants can adapt to a world where AI agents shop alongside humans.Key TakeawaysData has become the new storefront as consumers increasingly turn to answer engines rather than traditional searchMerchants need to provide structured, contextual data to AI agents, not just visually appealing websites for human shoppersChatGPT reached 100 million users faster than any consumer technology in historyProduct data must exist on multiple levels, from basic ad information to unstructured content in PDFs and reviewsB2B commerce stands to benefit significantly from AI-powered sales assistantsNew trust protocols are being established to manage transactions between shoppers, agents, merchants, and merchant agentsAI democratizes marketing tools, allowing creative thinkers to execute ideas without engineering expertiseEpisode SummarySharon begins by explaining her role at Commerce and immediately addresses the most significant shift in ecommerce: the rise of agentic commerce. For decades, professionals optimized data for advertising channels, working to improve conversion rates between two and five percent. Now consumers turn to answer engines with complex queries like finding a dress for a wedding in Italy in a specific color and size, delivered by tomorrow.\"Somebody came along and bopped the board game and now we get to reset all the pieces,\" Sharon explains. This shift requires merchants to recognize that data has become the new storefront. Answer engines need deep context to respond to long-form queries, making product discoverability critical wherever shoppers are looking.Sharon introduces a framework for data levels....","thumbnail_url":"https://img.transistorcdn.com/Iwo9itiv1VVvX4mxHpDFF3LqetNORMJCPIcKVtkYuNY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQ4MTQzLzE3MDM3/NzA2NjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}