Sell to people and their AI!
The Product Universe® combines what would normally be separated into PIM, CMS, commerce, subscriptions, and AI operations.
🧩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 > https://t.co/HMBOOVAcRf
No, WebMCP isn't replacing MCP.
MCP connects agents to your services.
WebMCP connects agents to your website while it's open and the user's in the loop.
Here's how they fit together ⤵️
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 👇
https://t.co/EbRp77Fgbv
📢 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!
▶️ https://t.co/hvdmdaa9Nt
🔷 https://t.co/OJ1TY9RuUw
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.
👉 https://t.co/Tz3CBmOzWq
✅ 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.
👉 https://t.co/lt43waJM2G
#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.
👉 https://t.co/wDipf2vWkP
📢 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!
▶️ https://t.co/NpZzf9yrBK
🔷 https://t.co/aaFiIOdlZu
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
We gave an AI agent access to our private codebase. What could possibly go wrong? 🤖
Meet Claudette, our internal AI engineer at @CrystallizeAPI
She lives in @SlackHQ, investigates bugs, supports users, writes development plans, and prepares pull requests.
In 90 days: 111 conversations, nearly 400 questions, and 38 development plans.
The catch? No access to secrets. No unrestricted infrastructure access. No shipping code without human approval.
Our CTO, @Plopix, explains how we built an AI agent that actually does useful work without handing it the keys to the kingdom.
👉 https://t.co/qEZ48rpJ4I
#AIAgents #ClaudeCode #Engineering
You can now compare draft, published, and archived versions side by side with clear, color-coded highlights that make every change easy to spot.
Spend less time manually reviewing differences, catch unintended edits faster, and publish with greater confidence.
Give it a go and let us know what you think 😎
Every SaaS vendor seems determined to sell you an AI assistant. Another chatbot, another subscription, another shiny button in the corner of your screen.
But what if the future is bringing your own AI instead?
👉 https://t.co/0v0YFWoYvE
Our Ruy Ramos challenges the AI-as-a-feature obsession and makes a compelling case for open platforms, portable intelligence, and giving users control over their AI.
📢 LIVESTREAM ALERT: October 8th, 2026, at 3 PM CET
How Motor Part Streamlines B2B Auto Parts Ordering: Workshop Integration & Vehicle Matching
Following our previous session on a B2B tool store, we sit down with Motor Part to examine how their B2B platform streamlines operations for auto repair shops. Explore how mechanics can quickly connect vehicles in the shop directly to available, exact-fit inventory—and seamlessly discover smart alternative parts to prevent repair delays.
Key Highlights:
* Vehicle-to-Part Matching: How workshops instantly connect active garage jobs with compatible inventory.
* Replacement Alternatives: Finding viable alternative components when primary options are out of stock.
* End-to-End B2B Workflow: A step-by-step walk-through of the ordering process designed specifically for high-volume workshops.
* Reducing Repair Downtime: How smart search and fast ordering minimize wrong-part returns and keep repair schedules on track.
Join us live to see what's possible 👇
▶️ https://t.co/7qleqgHd4A
🔷 https://t.co/C1xdplXlew
Still selling clients $50k/year black-box personalization add-ons that murder their Core Web Vitals?
Legacy platforms force your dev team to duct-tape third-party personalization scripts over static catalogs. The result: slow client-side rendering, disconnected product data, and frustrated clients asking why recommendations make zero sense.
Meet Hyper-Personalization in Crystallize—driven by Rank by Taste 👇
https://t.co/Xgl7rOPXMY
- Zero Runtime AI Latency: Offline catalog scoring meets client-side vector ranking and time-decay math.
- Rich Semantic PIM: Recommendations driven directly by rich, structured product graphs—not generic behavioral cookies.
- Agency-First Architecture: Ship real-time personalization to your clients without maintaining complex, custom ML infrastructure.
Stop building workarounds. Start building competitive advantage 🤘
Look at this beauty https://t.co/zApybOgzlx made by the team!
All built on top of @CrystallizeAPI, of course!
Engineered with @claudeai
Powered by @vercel
It's a collection of e-commerce storefronts associated with their corresponding prompt to generate them on your side, leveraging the Crystallize MCP server and skills.