{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"CommerceAI","title":"\"Do this with me, not for me\": in conversation with Emmanuelle Gounot, CommerceIQ","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c20f6390\"></iframe>","width":"100%","height":180,"duration":2256,"description":"In this episode, Emmanuelle Gounot of CommerceIQ makes the case that the shift from rule-based systems to goal-oriented agents is a structural change, not a rebrand, and explains what that means for brands managing product content, media spend, availability, and pricing across dozens of retailers simultaneously. \nKey themesThe AI shelf is replacing the digital shelf. Rufus on Amazon, Sparky on Walmart, and similar assistants are changing the customer journey from search-click-buy to ask-answer-buy. Brands optimising for CARS metrics (content, availability, rating, search) now have to account for how AI agents, not humans, interpret and surface their products.Rules to goals: what's actually changed. Emmanuelle draws a hard line between legacy rule-based automation and current agentic workflows. The distinction is context-awareness: agents can factor in macro environment, retailer-specific dynamics, brand constraints, and supply chain status simultaneously, in a way that rule engines cannot.The operational arithmetic is compelling. A brand with 400 products, 30 variables each, changing three times a day faces roughly 25 decisions per minute. That number makes manual management structurally impossible and periodic weekly reviews operationally stale before they happen.Trust is built incrementally, not assumed. CommerceIQ's first content agent launched with 30% customer approval of its recommendations. Within 45 days that reached 95%, at which point the customer switched to bulk approval for long-tail SKUs. The model: human in the loop by default, autonomy earned through demonstrated accuracy.Orchestration is the unsolved problem. Many brands are experimenting with individual agents for content, shelf, and media, but risk replicating their existing silos in a new form. Emmanuelle argues the real value comes from a unified layer that ensures these workflows are aware of each other, so media spend is not pushed against out-of-stock or under-performing content.Leaner...","thumbnail_url":"https://img.transistorcdn.com/6XUPDihUkuCPm3PnIb8K-PUA2E498QQeSfVpKPViPOk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82MmRl/ODliZTRlNjQ0OTVm/MGNkNmNjYjQ1YmM3/ZDE3YS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}