--- title: "How 3M Uses AI to Manage Its Massive Catalog" description: "Discover how 3M uses AI to manage its 60,000-product catalog, improve B2B customer experience, and free up sales engineers from repetitive queries." canonical: https://epinium.com/en/blog/3m-ai-catalog-management/ lang: en date: 2026-08-27T05:08:00 --- **Executive summary** - 3M just deployed Ask 3M, an AI assistant built to navigate its massive 60,000-item catalog so industrial buyers can self-serve technical answers. - Over 45% of B2B buyers are already using generative AI to research vendors, turning traditional search bars into outdated friction points. - The real shift isn't just about customer experience; it is about freeing up your senior sales engineers from answering repetitive queries so they can actually close deals. Imagine the scene. Your sales team is drowning in emails. A buyer wants to know which specific adhesive bonds carbon fiber to aluminum under extreme heat. You actually manufacture the perfect solution. It sits somewhere in your vast product catalog. But because the buyer cannot find it instantly on your website, they bounce to a competitor who answers faster. You lose a six-figure contract not because your product failed, but because your catalog is a maze. ## The paradox of choice is killing your conversion rate Having a massive portfolio used to be a flex. Today, it is a liability. If you are a brand manager or COO, you know the pain. Your catalog is expanding, but buyer patience is shrinking. [3M realized their 60,000-product portfolio had become an obstacle to sales](https://www.pymnts.com/news/artificial-intelligence/2026/3m-uses-ai-to-tame-its-60000-product-portfolio/), according to a recent PYMNTS report. So they built Ask 3M. This isn't a dumb chatbot that routes you to an FAQ page. Powered by Amazon Web Services (AWS), it grounds its answers strictly in verified technical documentation. An engineer types a hyper-specific question in plain English. The AI spits out the exact tape or adhesive, compares specs, and links to an authorized distributor. No frustration. No waiting for an email reply. Here is the contrarian truth most CTOs ignore. Stop treating your website like a digital brochure. Your customers do not want to read PDFs. They want a direct answer right now. If you force them to use a clumsy search bar from 1999 that relies on exact keyword matches, you are actively pushing them away. Buyers are doing their own research, forming shortlists, and making decisions before they ever talk to your sales reps. If your digital experience cannot answer their highly technical questions on demand, you do not even make the shortlist. > **45%** — of B2B buyers now use GenAI to gather information on vendors and products during the purchase process. [Source: Gartner 2026](https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-69-percent-of-b2b-buyers-turn-to-sales-reps-to-validate-ai-generated-insights) FREE SESSION **Drowning in a massive catalog?** Let our experts audit your product discovery process. [Discover AI Consulting →](https://epinium.com/en/ai-consulting/) free 30-min diagnostic ## Save your talent from the manual work trap Let's talk about your internal team. Talent is leaving. Why? Because you hired brilliant sales engineers and marketing directors, and then you turned them into human encyclopedias. They spend hours answering the exact same repetitive technical questions. "Does this product work on this surface?" "What is the difference between SKU A and SKU B?" It is exhausting. It kills morale. Think about the last time your team launched a new line. How many hours went into training the sales force on the exact specs, only for them to forget half of it under pressure? An AI model trained on your internal data never forgets. It never has a bad day. It delivers the precise technical spec sheet at 2 AM on a Sunday when an overseas buyer is doing their research. When you implement an AI layer that understands your proprietary data, you fix the talent bleed. You automate the friction. You speed up the time to market. Just look at how smart brands [speed up product development with fast AI](/en/blog/speed-product-openai-google-fast-ai/). They do not replace their experts. They clear out the routine noise so humans can tackle the complex problems only humans can solve. Your top performers should be closing enterprise deals and negotiating contracts, not acting as a manual search engine for lazy buyers. > **Epinium data:** Brands deploying AI-driven product discovery reduce technical support tickets by an average of 38% within the first quarter, freeing up hundreds of hours for strategic sales. ## Stop waiting for competitors to move first The B2B buying journey has changed permanently. Buyers want self-service. They demand immediate technical validation. The friction of the traditional sales funnel is no longer acceptable. If you are planning to [launch a new product on Amazon](/en/blog/launch-amazon-product/) or revamp your own D2C channel, you cannot rely on manual tagging and rigid category filters anymore. 3M set a new standard for industrial manufacturers. Ask 3M proves that artificial intelligence is not just a shiny toy for consumer brands. It is a critical infrastructure for complex, high-stakes sales. You already have the data. You have the massive catalog. You just need the intelligence layer to connect the two. Do not let a disorganized portfolio be the reason your competitors win. ### FAQ: AI in product portfolios ### What exactly is Ask 3M? It is an AI-powered digital assistant built by 3M to help customers navigate its 60,000-product catalog. It answers complex technical questions using verified internal documentation rather than open internet data. ### Why do manufacturers need AI for their catalogs? Large portfolios confuse buyers. When customers cannot find the right product quickly, they abandon the purchase. AI allows them to search using natural language and get precise recommendations instantly. ### Will AI replace technical sales reps? No. The goal is to eliminate repetitive, routine questions. This frees up human experts to handle complex negotiations and validate AI-generated insights for high-stakes purchases. ### How does generative AI improve B2B buying? It accelerates discovery. Instead of filtering through dozens of dropdown menus or reading long spec sheets, buyers get immediate, summarized answers tailored to their specific use case. ### Where should a brand begin with AI integration? Start by centralizing your product data. Then, partner with an AI consulting team to build a custom model grounded strictly in your proprietary documentation to ensure accuracy and avoid hallucinations. AI CONSULTING BY EPINIUM **Stop losing sales to a confusing catalog.** Join the manufacturers upgrading their discovery process. [Book free diagnostic →](https://epinium.com/en/contact/) free 30-min diagnostic