Manufacturing

Inventory reorder exception management

Planners repeatedly inspect stock levels even though only threshold, open-order and lead-time exceptions require judgment.

Business problem

Planners repeatedly inspect stock levels even though only threshold, open-order and lead-time exceptions require judgment.

What teams see

  • Work waits between read stock data and validate data age.
  • Owners reconstruct status from ERP platform and Database.

Why it happens

  • No shared state spans ERP platform, Database, Microsoft Teams.
  • Decision and exception rules are applied inconsistently.

Why it becomes expensive

  • Capacity is consumed by coordination and rework.
  • Late exceptions weaken visibility and service quality.

Business outcomes

  • Shorter record decision cycle
  • Fewer handoff and missing-information exceptions
  • Clear ownership from read stock data to record decision
  • Inspectable decisions and recovery

Measurable KPIs

  • Turnaround time: Elapsed time from read stock data to record decision.
  • Manual intervention rate: Share of items needing a person outside defined review conditions.
  • Exception age: Time unresolved exceptions remain without a completed action.
  • Successful completion rate: Share of valid workflow items completing without terminal failure.

How the workflow works

  1. Read stock data — Accept and identify the inventory reorder exception management trigger. ERP platform
  2. Validate data age — Execute validate data age with validated sample data and an auditable result. ERP platform
  3. Apply reorder threshold — Execute apply reorder threshold with validated sample data and an auditable result. Database
  4. Check open purchase orders — Execute check open purchase orders with validated sample data and an auditable result. Microsoft Teams
  5. Apply lead-time rules — Execute apply lead-time rules with validated sample data and an auditable result. ERP platform
  6. Create purchasing action — Execute create purchasing action with validated sample data and an auditable result. Database
  7. Escalate exception — Execute escalate exception with validated sample data and an auditable result. Microsoft Teams
  8. Record decision — Execute record decision with validated sample data and an auditable result. SEIDO Review Queue
  9. Audit and KPI update — Persist the execution outcome, audit facts and workflow measurement events. SEIDO execution store

Integrations and ownership

  • ERP platform: Provide workflow input
  • Database: Lookup and update context
  • Microsoft Teams: Receive controlled outcome

Human responsibility: Operations quality lead

Failure and recovery

ERP platform is temporarily unavailable.

Retry with capped exponential backoff; preserve the run and move it to the inspectable failure queue after the limit.

Required data for validate data age is malformed or missing.

Stop downstream actions and show the missing fields, source evidence and correction action to the named reviewer.

The trigger or provider event is delivered more than once.

Return the existing execution identified by the idempotency key and do not repeat downstream business actions.

The human decision expires before completion.

Escalate to the configured substitute, retain the original request and record both expiry and reassignment.

When not to build this

  • Monthly volume is too low to justify integrating ERP platform, Database, Microsoft Teams.
  • An existing configured platform already handles inventory reorder exception management with adequate ownership and reporting.
  • Reliable source data or supported API access is unavailable.
  • No business owner has authority to define the decision and exception rules.

Related workflows