Automotive customers often share forecast schedules and more immediate just-in-time delivery instructions through scheduling agreements. Suppliers use these releases to plan materials, manufacturing capacity and dispatch windows. A forecast signals anticipated demand, while a firm call-off creates a more immediate execution requirement according to the agreed business rules. SAP processes can support release documentation, schedule lines and delivery processing, but people still validate feasibility and shortages.
Forecast and release are different signals
A longer-horizon forecast helps a tier supplier plan component purchases and production capacity. Near-term call-offs may specify exact parts, quantities and arrival windows. SAP documentation distinguishes forecast and JIT schedule types; implementations must respect release relevance, cumulative quantities and customer-specific conventions.
The latest customer message must be interpreted using the agreement and release history rather than mechanically adding every forecast as new demand.
Example: an automotive wiring-harness supplier
Assume an OEM forecasts 4,000 units for next month, then issues a delivery schedule requesting 600 units for the next two days. A planner checks finished stock, supplier lead times, available line capacity and carrier slots before committing. If 200 units are blocked for quality checks, the team cannot count them as immediately shippable.
The planner, Sales customer team, materials buyer, production supervisor and transport coordinator must agree whether to resequence production, expedite approved parts or escalate a potential shortage. An ERP schedule is a coordination tool, not proof that physical goods exist.
Controls at the customer-supplier boundary
Compare release history, actual goods issues, cumulative receipts and agreed tolerance or deviation rules. Align delivery labels, advance shipping notices where applicable and transport milestones with the customer's delivery window.
A consultant should test revised releases, overlapping schedule lines, partial deliveries, returns and sudden capacity limits. Clarify what triggers an exception, who informs the customer and which evidence proves the final commitment was met.
Review checklist
- Separate forecast signals from firm near-term instructions.
- Check cumulative quantities, release versions and delivery dates.
- Validate quality-released stock and realistic capacity before promising supply.
- Reconcile shipment evidence with customer call-offs and receipts.
Related N2i Knowledge
- How Make-to-Order Manufacturing Works
- How Warehouse Operations Support a Factory
- How Supplier Quality Issues Affect Production
Official SAP References
SAP Help — Sales Scheduling Agreements · SAP Help — Forecast and JIT Schedule Releases