SolutionsPlanningInventory & Planning

Slow-Moving Inventory

Aging stock is about to become a markdown — act before it strands.

The decision

A SKU has gone quiet in one region while another is short on something similar. The aging clock is ticking toward a forced markdown. Transfer it, mark it down now, bundle it, or hold one more cycle?

Why it's hard today

Mark down too early and you give away margin; too late and you eat a bigger cut. The right move depends on where demand still exists, transfer cost, and the markdown calendar — rarely visible together.

Why your systems don't help

Your system flags aging inventory; it doesn't know another region wants it, what the transfer costs, or where it sits on the markdown curve. It raises a flag, not a plan.

What AgentForgeOS does

It assembles the picture you can't see, and makes the call under your rules.

Transfer the slow stock to the region that still wants it and hold the markdown a cycle — protecting margin — under your aging policy.

Operational context assembled
  • Aging and sell-through by location
  • Regional demand for substitutes
  • Transfer cost and lead time
  • Markdown calendar and elasticity
  • Carrying cost
Governed by your policy
  • Transfer-cost thresholds
  • Markdown-timing rules
  • Margin floors
  • Carrying-cost limits
decision-workspace · aging · SKU 9027

⚠ 62 days aging — SKU 9027, markdown trigger in 8 days

Evidence assembled

  • Region West slow; Region East short on a near-substitute
  • Transfer ~$0.40/unit, 4-day lead
  • Markdown would cut ~30% margin
  • Carrying cost rising

Recommendation · transfer to East, hold markdown one cycle

Policy: transfer within cost threshold · margin protected · awaiting planner

Decision Object #9027Evidence ×4Policy ✓ApproveMark down

What improves

  • Less margin given to markdowns
  • Aging stock redeployed, not dumped
  • Lower carrying cost
The knowledge it keeps

Each call and its outcome — sold after transfer or marked down anyway — is kept, so the model learns this category's true aging behavior.

Under the hood

Underneath, this is the same operating model the rest of the platform runs: verified context is assembled, options are weighed and adversarially challenged, the decision is governed by your policy, and the outcome is learned. The decision changes from one of these to the next. The architecture does not.

See how it works

This is exactly how your team works today.

Only now the decision is assembled, governed, and remembered — instead of made from memory and lost.