Time saved
Less switching between spreadsheets, catalogues and separate tools.
AI Engine module · Product agent
Product selection based on shared rules.
Helps select and configure products. Uses shared rules, parameters, catalogues and availability, then passes the result for review or further quoting.
Module demonstration with sample data.
Workflow
How the agent works
The Product agent connects requirements with product properties and selection rules. Its recommendation remains traceable.
Understands customer requirements.
Filters options and checks constraints.
Runs rule-based calculations.
Prepares the configuration and product sheet.
A common product model reduces repeated checks and makes product knowledge useful across more roles.
New possibilities
Agreed rules can power the configurator, the Quoting agent and future applications.
Integrations
Possible integrations
The data foundation connects product definitions, availability and configuration rules.
ERPPIMCataloguesPrice listsDocumentation generator
We confirm the scope after reviewing data, permissions and interfaces.
Launch conditions
We agree launch conditions after reviewing the data and integration scope. Together, we define the process, preparation needed and acceptance criteria.
Skills and processes
- Requirements analysis
- Option filtering
- Constraint checks
- Calculations
- Product sheets
Getting started
Let’s check readiness to start
You do not need everything ready in advance. Together, we review these areas, identify gaps and agree what to prepare before a pilot.
Products and variants. Choose one product family to start with. Let’s review parameters, catalogues, prices, availability and their update sources.
Selection rules. Gather dependencies, constraints and calculations. Include correct configurations and exceptions to review together.
Tools and data. Identify ERP, PIM and existing configurators. We agree which data and rules can be reused.
Technical review. Nominate a product expert to check results. Together, we define the pilot scope and required level of accuracy.
Pricing
What the price depends on
Selection rules
How many product families, variants, dependencies and calculations the agent applies when selecting a product.
Product data
The state of parameters, catalogues, prices and availability, and how many systems they come from, such as ERP, PIM or your current configurator.
Security and environment
IT requirements for access and for where the agent runs, in the cloud or on your servers.
The first call is free. We quote the price after reviewing the data and integrations, and when the idea first needs testing on your data, we start with a feasibility study.
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
