Crystallize💎

AI personalization shouldn't be a black box you can't explain or control. With Crystallize, hyper-personalization is: • Semantic & structured: Built natively on rich product graphs. • Explainable: You know exactly why a customer sees a recommendation. • Headless & fast: Delivered via GraphQL APIs ready for any frontend. See how modern headless commerce handles real-time contextual tailoring. crystallize.com/hyper-person…

🍻 Good people. Great conversations. One fantastic evening in Stockholm! What a way to kick off Stora E-handelsdagen 2026 (organized by @EhandelPunktSe)! Huge thanks to everyone who joined us for the pre-party on October 20. It was a pleasure bringing the eCommerce community together for an evening of networking, new connections, and good vibes. Special thanks to our amazing co-hosts BradSearch, Rule, and Triggerbee for making it happen! 🙌 And because great evenings deserve to be remembered, we've put together a short video capturing some of the highlights. 🎬 Enjoy the recap, spot some familiar faces, and see you at the next one!

PIM vs. PCM. Two acronyms. One big question: Do you really need both? 🤔 Product data and product content aren't the same. But they shouldn't live in separate worlds either. 📦 PIM keeps your product data structured, accurate, and consistent across channels. 🎨 PCM makes that data engaging with images, storytelling, and marketing content. The challenge? Knowing where one ends and the other begins — and whether you need two separate systems at all. We've broken down the differences, use cases, and overlaps. Plus, there's a handy infographic to help you navigate the eCommerce acronym jungle. 👉 crystallize.com/blog/pim-vs-… #PIM #PCM #eCommerce #ProductContentManagement

🧩Traditional Personalization: Relies on static customer profiles, broad audience segments (e.g., age, location), historical purchase data, and rule-based triggers (such as category-based "recommended items"). 🎯Hyper-Personalization: Leverages real-time contextual data, predictive AI models, and granular behavioral signals to dynamically adapt content, product discovery, pricing, and messaging at the moment of interaction. And beneath it is Rank by Taste > crystallize.com/blog/rank-by…

MCP is becoming table stakes. But connecting AI to your commerce platform is only half the job. Give an AI agent access to messy, poorly modeled product data, and you've just made the mess more accessible. That's why we've always focused on structured product information, unified APIs, and flexible commerce modeling. #MCP lets AI agents connect, discover, and act. Crystallize gives them the business context to use that connection meaningfully. MCP is the connective layer. Crystallize is the structured foundation underneath it. We've revisited what this means for developers, commerce teams, and anyone building with AI agents. Read the article 👇 crystallize.com/blog/commerc…

📢 LIVESTREAM ALERT: October 22nd, 2026, at 3 PM CET Getting Nerdy with Topics Topics are one of Crystallize's quiet workhorses. They power how you classify products, build navigation, drive faceted search, and shape landing pages. In this livestream, we go deep on the new topic view: what changed, why we built it, and how it makes working with large topic maps faster and clearer. 🎬 Join the livestream and see it in action! ▶️ youtube.com/watch?v=ZiotmjWN… 🔷 linkedin.com/events/75189740…

At Product Content Europe, we caught up with some friends to talk about the challenges shaping commerce's future. A few things stood out: 🤖 AI is already influencing buying decisions. Customers are increasingly turning to AI for product research, not just Google. 📦 Product complexity is no joke. Managing tens of thousands of products means a single data mistake can cost millions. 🧩 Structure matters more than ever. Flexible, well-structured product data isn't just good for operations. It's the foundation for AI-powered commerce. 🔮 What's next? A future where AI doesn't just help people find products but increasingly makes decisions and purchases on their behalf. One thing is clear: the future of commerce starts with better product data. Great conversations, valuable perspectives, and plenty to think about. #ProductContentEurope #AICommerce #ProductData #ecommerce

What if your e-commerce platform adapted to your business, instead of the other way around? We built 14 AI-powered commerce demos to show what's possible. 👉 crystallize.com/blog/crystal… ✅ Sell complex products with 3D configurators. ✅ Personalize shopping experiences. ✅ Simplify B2B purchasing and procurement. ✅ Launch subscriptions, bookings, and rentals. ✅ Experiment and launch faster with AI. The real opportunity isn't just building stores faster. It's building commerce around your business model, not platform limitations. 14 stores. One flexible commerce foundation. #eCommerce #AICommerce

Who should manage product information in your business: marketing, product teams, or someone else? Ståle Eikeri, COO at @CrystallizeAPI , explains why Product Information Management (PIM) and structured product data are essential for modern eCommerce, how PIM ownership differs between B2B and B2C, and why the people closest to the buyer should take responsibility. Recorded at Product Content Europe. #PIM #ProductInformationManagement #eCommerce #Crystallize

UCP. MCP. AP2. ACP. Welcome to e-commerce's latest alphabet soup. 🍜 @Google , @OpenAI , @claudeai , @stripe , and others are busy defining how AI agents will shop for us. Different acronyms. Different approaches. One massive shift: Your next customer might never visit your website. And here's the catch: none of these protocols can fix bad product data. We've updated our Agentic Commerce guide to explain the protocols, the business opportunities, and what e-commerce teams should prepare for today. 👉 crystallize.com/blog/agentic… #AgenticCommerce #AICommerce #eCommerce #Crystallize

Your next revenue stream might not be another product. It might be time. ⏱️ Why sell only tires when you can sell installation, too? Why sell tools when you can also rent equipment? With Bookable Commerce in Crystallize, you can sell products, rentals, appointments, and services through one storefront, one cart, and one checkout. No disconnected booking platforms. No fragmented customer journeys. Just more ways to sell. We've published a new article explaining how it works, with real-world examples and a working demo. 👉 crystallize.com/blog/when-ti…

📢 LIVESTREAM ALERT: October 15th, 2026, at 3 PM CET From Product Data to 3D Configurator 🚀 Selling configurable products? Your customers deserve better than dropdown menus. Join us LIVE as we take apart a fully functional 3D kitchen configurator built with Crystallize. 🛠 Customize every component, material, and finish. 💰 Watch prices update in real time. 🧩 See how 3D models, product data, and pricing work together behind the scenes. From kitchens to any made-to-order product, discover how to turn complex configurations into seamless shopping experiences. 🎬 Join the livestream and see it in action! ▶️ youtube.com/watch?v=ysDg7l48… 🔷 linkedin.com/events/75161103…

Yesterday, we heard from the Product Content Europe hosts. Today, we're turning the microphone around. 🎤 @bardfarstad shared his take on the future of product content and commerce. PIM and commerce belong together, AI agents are becoming your next customers, and product stories shouldn't be held hostage by organizational silos. Oh, and always back up your database before an upgrade. That last one comes from painful experience. 😅 🎬 Watch it 👇 #ProductContentEurope #PIM #AgenticCommerce #Crystallize