Workflow design · scope to your operationFrom trigger to finished work
- Open PO + receipt history
- expected vs actual delivery
- stale/late status
- supplier-level reliability view
- revised availability/reorder suggestion
- approval
- follow-up and receipt reconciliation
The rules that matter
Keep incoming stock separate from sellable stock. Do not treat a stale expected date as confirmation. No automatic new PO without approved authority.
When the normal path breaks
Partial delivery; cancelled PO; changing lead time; disputed received quantity; stale supplier status.
Uncertain inputs go to an assigned owner with the source, reason and next decision. Failed writes are reconciled before retrying, so a recovered connection does not create a duplicate order, payment or stock movement.
How we would measure it
Late inbound units; emergency freight spend; double orders; time to identify supply risk.
Sample representative work before the build, including difficult cases. Compare the same task mix after launch; include review, exception handling and system upkeep in the time used.
Start with one accountable slice
Map the first input, the final accepted result and who can approve it. Agree source systems, read/write access, rules, exception ownership and acceptance checks. Run representative normal, failure and recovery cases before expanding across teams.
What makes this suitable for larger teams?
Role-based access, separation of preparation and approval, versioned rules, an action history, duplicate protection, reconciliation, alerts and a named recovery owner. Private deployment or customer-controlled infrastructure can be scoped where needed. These are design requirements to validate, not an unsupported promise of perfect source data or regulatory compliance.
Before you buildQuestions about this workflow
Specific answers to help you judge the fit, the information needed and the decisions your team keeps.
How do you decide an incoming order is late or unreliable?
Compare the agreed delivery date or latest confirmed promise with receipts and supplier updates, preserving when each was received. An old expected date is not fresh confirmation. Define how partial receipts and revised promises affect the open quantity before using it in purchasing or customer availability decisions.
Can a supplier ETA automatically become a customer delivery promise?
Only under rules that account for source freshness, your receiving time and any onward fulfilment constraints. A supplier estimate should remain identifiable as an estimate. Where confirmation is missing or the date changes, affected customer promises need review rather than quietly inheriting an increasingly unreliable ETA.
Will the system place a replacement order when a supplier is late?
It can prepare a suggestion showing remaining demand, open supply and the reason another source is being considered. Purchasing authority remains explicit. Check existing commitments and cancellation conditions before approving a replacement, otherwise a late delivery and its replacement can create duplicate stock and spend.
How do you compare supplier reliability fairly?
Compare equivalent measures such as confirmed-date adherence, quantity received and frequency of revised promises. Keep cancelled orders, partial deliveries and different product lead times visible. A supplier ranking should show its data coverage and definitions, rather than treating every missing receipt as the same kind of supplier failure.
What would the first delivery-exception workflow include?
Start with an agreed supplier group and accessible PO, receipt and promise-date records. Test partial receipt, cancellation, stale status and conflicting quantity reports. Track how quickly risk becomes an owned action, plus duplicate orders and emergency freight; do not count earlier warning as a resolved supply problem.