Dyver.AI

Some sales fundamentals never change. If a customer can't find your product, you don't get the sale. Shopify recently confirmed that products with clean, structured data convert at 2x the rate in AI-powered shopping experiences. That's not surprising. Whether buyers are searching on Google, a marketplace, or using AI assistants, products with accurate, well-structured data are simply easier to discover. The principle remains the same: If you're not discoverable, you're not sellable. See full article in comments.

I have watched brilliant catalog teams lose weeks to manual work, year after year, deal after deal. At Dyver.AI, we have been building toward changing that for a while now, and we are ready. The work has been worth it. #Dyver #Ecommerce #ProductData #CatalogManagement #Automation

This week we launched something we've been thinking about since day one at Dyver.AI. And I had the chance to talk about it on ZF IT Generation. Thank you Adrian S. and Ziarul Financiar for the invitation and the great conversation. A few things we covered: → Dyver AI Assistant: Our first self-service product: an AI agent you simply talk to, and it turns that messy supplier Excel into a catalog ready to publish on your site, eMAG, Amazon or Allegro. No technical skills needed. → Why this opens up a market of ~12 million small online stores worldwide - 12x larger than the enterprise and mid-market segments where we started. → How we tested it before launch: we built an AI agent that simulates real users and let it stress-test our assistant through thousands of conversations. → The shift from SEO to GEO: why preparing product data for AI-powered search is becoming existential for e-commerce companies. My favorite way to put it: with Dyver, you can pay $20 and have your own team of programmers making the exact adjustments your catalog needs. Full interview (RO) in the comments 👇

I started Dyver.AI because I kept seeing the same thing: e-commerce teams drowning in catalog data that was supposed to be a solved problem. Thousands of SKUs. Dozens of attributes per product. Multiple channels with different format requirements. And at the center of it, a spreadsheet and someone manually copy-pasting. That was not a workflow problem. That was a structural one. Shopify just published that AI-powered shopping converts at 2x the rate when catalog data is clean and structured. Amazon, Meta, Google, Microsoft, Stripe, Walmart, and Target are all backing the Universal Commerce Protocol, the open standard for how AI agents transact across the entire e-commerce ecosystem. The problem is no longer whether AI commerce is coming. It is already here. The question is whether your catalog data is ready for it. The brands with 1,000 or more SKUs who treat catalog quality as infrastructure rather than a cleanup project will build a compounding advantage over the next two years. The ones who do not will spend that time chasing channels their products never actually reach. We built Dyver for exactly this moment. Link to the full breakdown in comments.

It's live! Today, we're introducing Dyver AI Assistant, your personal product data enrichment expert. This is one of the things we set out to build from day one. A way for catalog owners to onboard a new supplier or a new marketplace autonomously. I'm happy to finally share this new way of using Dyver.AI. You describe what you need in plain language, at your own pace. Dyver AI Assistant asks the right questions to understand your requirements, builds the workflow, tests it, and refines it based on your feedback. You validate at any point. From messy to ready-to-publish data, through a conversation, for anyone dealing with products online. Register to use it on your own data! Link in the comments. #Dyver #Ecommerce #ProductData #CatalogManagement #Automation

How many launches have you delayed this year because your catalog team is buried under enrichment work? You don’t need more bodies in seats—you need a smarter way to get accurate, channel-ready listings across hundreds of thousands of SKUs. Dyver automates the busywork so your team can own the strategy, not the copy-paste, and your customers finally see product pages that help them buy on the first visit.