AI production planning
Test capacity and supplier-delay scenarios with Forecast IQ before changing the production plan.
Industrial AI for manufacturing
Connect production data with the decisions that depend on it. Assess planning, procurement and technical knowledge workflows without replacing your ERP.
AI applications in manufacturing
What changes if a delivery is late?
Procurement visibility
Use DataCore to connect purchase orders, supplier records and operational information across existing systems.
Engineering knowledge
Use Ximple AI to retrieve procedures and DrawScan to extract structured fields from technical drawings.
See how a workflow connects
Existing records
- Production orders
- Supplier deliveries
- Machine capacity
Connected information
DataCoreWhat changes if a delivery is late?
Human review
Review the production planStart with the records your team already uses. Check access, completeness and ownership before connecting them.
DataCore brings the relevant information together. Agree on definitions and resolve gaps before using it in an AI workflow.
Use the connected information to support a decision. Your team checks the evidence and decides what happens next.
Illustrative workflow. Connections, outputs and data access are scoped during assessment.
Prove the value in one process first.
Map the data sources, define a measurable success criterion, and validate a working prototype before expanding the deployment. Your operations team helps decide what is useful.
Explore our methodQuestions before you start
Where can AI help a manufacturing team?
Test capacity and supplier-delay scenarios with Forecast IQ before changing the production plan. Use DataCore to connect purchase orders, supplier records and operational information across existing systems. Use Ximple AI to retrieve procedures and DrawScan to extract structured fields from technical drawings.
Do we need to replace our existing systems?
The starting point is your current systems and a defined workflow. We assess available integrations, data access and quality before recommending how to connect them.
What data should we prepare?
Bring a representative sample of the records used in the workflow, the business rules behind them and the people who own the process. Data quality and access are assessed before a prototype is scoped.
How do we decide whether a pilot is useful?
Agree on a baseline and a measurable goal for one process, such as time spent reconciling records or answering an operational question. Validate the result with the team before deciding whether to expand.
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