Workflow blueprint

An AI inventory recommendation remains a proposal until a person commits it

A decision ledger that exposes assumptions and preserves rejected or superseded outputs.

Explain responsible proposal handling without claiming a Codeblix AI feature, forecast accuracy, real-time feeds, optimisation, automatic reorder, supplier integration or autonomous stock commits.

TL;DR — Explain responsible proposal handling without claiming a Codeblix AI feature, forecast accuracy, real-time feeds, optimisation, automatic reorder, supplier integration or autonomous stock commits.
1

Freeze the planning evidence

Record stock-state definitions, covered period, excluded events, open orders and lead-time sources.

2

Present the recommendation as a candidate

Keep proposed quantity, supplied explanation, disclosed version and unanswered assumptions together.

3

Create a bounded human instruction

Capture reviewer challenges, accepted limit, purchasing owner and explicit differences from the candidate.

4

Review what happened later

Compare receipts, cancellations and demand changes, then supersede or reverse the decision without editing history.

Page-specific decision aid

A source-freeze, demand-proposal, human-limit, variance and rollback ledger

The ledger freezes available, reserved, held and inbound quantities, excludes a known disruption, attaches an external lead-time source, stores a proposed order and explanation, records a reviewer reduction, issues a bounded purchasing instruction, compares a partial receipt and cancellation, then supersedes the decision with a reversible replacement.

  • A prediction is not stock truth.
  • An explanation does not approve a purchase.
  • Later variance must not rewrite the original proposal.
Scope first

What Codeblix would confirm before implementation

This page is an operational blueprint. The final workflow, screens, permissions and integrations depend on your current process and agreed implementation scope.

  • Source snapshots carry a visible freeze time
  • Rejected recommendations remain evaluation evidence
  • Purchase instructions have human authority and limits
  • AI forecast optimisation real-time reorder and integration claims excluded

Use the related planning tools

Run the operational calculation, save the result in the URL and share it with your team.

Map this workflow to your operation

Tell Codeblix how work moves today. We will confirm the practical scope before proposing an implementation.

Discuss your workflow