○○AI in building product data
Product data needs to work for humans and machines
AI is changing how building products are found, understood and selected. That changes what we need from product data.
Machines will read your product data before any human does
Increasingly, AI will help people find products, compare alternatives, evaluate requirements, calculate environmental impact and draw buildings.That changes what we need from product data. A person can open a PDF, interpret a table, and recognise that two slightly different property names mean the same thing. A machine can’t.
"AI can read a PDF. That's not the same as understanding your product."
AI needs context to interpret your data
Modern AI is remarkably good at extracting information from documents, websites and unstructured text.But extracting a value is different from knowing what that value represents, and whether it can safely be compared, calculated or passed into another system.
From product information to Intelligent Product Data
Instead of repeatedly finding, interpreting and rewriting the same information for different recipients, product information can exist as structured data with explicit meaning. That means keeping the connection between a product, its properties, their definitions and their source.One product record can then be used to deliver the right information for different requirements, systems and contexts.We call this Intelligent Product Data.
What becomes possible
When product data has structure and meaning, AI can do more than simply search through documents. It can help:
- Suggest the best fit product based on specific needs
- Compare equivalent properties across products
- Identify missing or inconsistent information
- Match product data to customer and distributor requirements
- Support environmental and lifecycle calculations
- Generate different data outputs from the same product record
Preparing your building product data for what’s next
We don't know exactly how architects, contractors, distributors or AI agents will interact with product information five years from now.Our goal is to help make the underlying product information ready to travel. Structured. Defined. Traceable. Machine readable. Let us show you how!