A shared product model
Connect identifiers, variants, units and parameters. Selection rules explain which configurations are valid and why.
Data and context · Product data hub
A shared source of product knowledge
Selection and configuration rules, parameters, catalogues, prices and availability in one agreed model. A shared source of product truth for people, assistants and agents.
How it works
From scattered sources to a shared model.
Product knowledge is an application of Context Lakehouse. It connects PIM, catalogue sheets, selection tools and product properties so different users work from consistent information.
Current sources
Catalogues, price lists, ERP and PIM provide pricing and availability. Agree data owners and update frequency.
Context for action
The Product agent checks configurations, the Quoting agent prepares quotes and assistants answer questions. All use the same definitions and access rules.
First step
Start with one product family and its users.
We establish sources, identifiers, properties and selection rules, then test questions from designers, consultants and customers alongside agent and AI assistant tasks.
Let’s talk about the work you want to improve.
Tell us how a process works today. Together, we will explore where AI Engine can help and which module to start with.
Book a callOr write to: hello@wearefuture.ai
