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Cutting Batch Expiry Write-Offs Across Multi-Location Inventory

A distributor holds temperature-sensitive stock across eleven regional warehouses, with batch expiry tracked separately at each site.

Runs onSanchay

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • Stock expires at one warehouse while another is short of the same product.
  • Expiry is visible per site but never across the network, so redistribution never happens in time.
  • Write-offs are discovered at month end, when nothing can be done about them.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

Network Inventory View

Stock, batch, and expiry are consolidated across every location into one position.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • At-risk batches surfaced while redistribution is still possible.
  • Ordering suppressed where existing stock can cover the need.
  • Write-offs attributed to cause rather than discovered at month end.

Capabilities this relies on

  • forecasting
  • system connectors
  • scenario simulation
  • alert routing
  • anomaly detection

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