Production Planning & Forecasting
Better schedules, earlier warnings, fewer surprises.
Use operational data and forecasting models to support production schedules, resource utilization and exception management.
Workflow
KPIs we measure
- Schedule adherence
- Throughput
- Planning effort
The business problem
Planners juggle spreadsheets while demand, capacity and materials keep shifting.
Use operational data and forecasting models to support better production schedules, resource utilization and exception management.
Before and after
The same work, redesigned.
Current manual workflow
- 01Demand exported from ERP
- 02Forecast adjusted in spreadsheets
- 03Capacity checked with the floor
- 04Schedule rebuilt after each change
AI-enabled workflow
- 01Orders, history and signals combined
- 02Demand forecast generated
- 03Capacity and material constraints applied
- 04Schedule options proposed
- 05Planner selects and adjusts
- 06Risks surfaced as conditions change
Agent capabilities
Demand forecasting
Blends history, open orders and external signals.
Constraint awareness
Machines, labor, materials and changeovers.
Scenario comparison
See trade-offs before committing.
Exception alerts
Early warning on shortages and late orders.
System integration examples
- ERP / MRP
- MES & shop-floor data
- Inventory systems
- Supplier lead-time data
Human approval & security
- Planner owns the final schedule
- Forecast accuracy tracked
- Assumptions visible
Potential business impact
- Schedule adherence
- Throughput
- Planning effort
Relevant industries
Related solutions
FAQ
Do we need perfect data?+
No. We assess data quality first and design around what you have.
Is production planning & forecasting right for your team?
Tell us how the work runs today. We'll tell you honestly whether a custom AI agent makes sense.