Why eCommerce Product Data Is Breaking (And How AI Fixes It) скачать в хорошем качестве

Why eCommerce Product Data Is Breaking (And How AI Fixes It)

Most product teams treat catalog content like a checklist. But what if your messy data is silently wrecking SEO, discoverability, and CX? In episode #28 of The Retention Edge, we sit down with Vidar Trojenborg, Co-Founder of Emfas, to explore how AI-powered product enrichment is redefining digital growth for eCommerce brands and multi-brand retailers alike. From fixing broken PLM handoffs to automating alt text, enriching PDPs, and pushing products into ChatGPT, Vidar shares how Emfas helps brands regain control over messy catalogs and unlock visibility across channels. We dive deep into: Why poor product data ruins SEO and LLM discovery How AI transforms PIM systems from manual to scalable The future of PDPs (and why FAQs matter more than ever) When to automate vs. when to prompt-engineer Common myths about catalog AI and hallucination risks If you're running on Shopify, managing thousands of SKUs, or building for the next era of generative search, this episode is packed with lessons to help you scale content, save time, and stay competitive. Because in eCommerce, your product data is your storefront. 📜 Subscribe to the Retention Edge Newsletter: https://retentionedge.co/ 📱 Get a free preview of your brand’s mobile app: https://www.mobiloud.com/ Connect with Vidar:   / vidar-trojenborg-289059106