Use case
Use case3 min readBy The Data Workers Team

Inventory and demand planning data, run by agents

Forecasts run on ERP extracts that break after upgrades and inventory that drifts from the ledger. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. Forecasts run on ERP extracts that break after upgrades and inventory that drifts from the ledger.
  • •What changes. Agents catch ERP changes, tie inventory daily and keep forecast inputs fresh.
  • •What stays with your people. Inventory-of-record tables: they feed financial statements.
  • •The result. Plans run on verified inventory.

The problem today

Forecasts run on ERP extracts that break after upgrades and inventory that drifts from the ledger.

What changes with Data Workers

Agents catch ERP changes, tie inventory daily and keep forecast inputs fresh.

The workflow: Schema Evolution agent (detect_schema_change) → Quality Monitoring agent (run_quality_check) → Pipeline Building agent (generate_pipeline) → Autonomous Data-Conductor (verify_data).
Fig. 1:The workflow: Schema Evolution agent (detect_schema_change) → Quality Monitoring agent (run_quality_check) → Pipeline Building agent (generate_pipeline) → Autonomous Data-Conductor (verify_data).

The workflow, step by step

  1. 1.The Schema Evolution agent calls detect_schema_change and catches ERP changes.
  2. 2.The Quality Monitoring agent calls run_quality_check and ties inventory to the ledger.
  3. 3.The Pipeline Building agent calls generate_pipeline and maintains forecast inputs.
  4. 4.The Autonomous Data-Conductor calls verify_data and verifies the plan inputs.

The impact metrics we move

  • •ERP change absorbed: from about a week to 2 h
  • •Inventory tie-out: from about a week to 8-15 min
  • •Forecast input refresh: from about 2 days to ~1 h
Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.
Fig. 2:Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.

What goes on autopilot

  • •Inventory ties daily, so plans start from truth.
  • •ERP changes are mapped on load, so forecasts never read broken extracts.

Where your people stay in charge

Inventory-of-record tables always go to a named approver, because they feed financial statements. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. Daily tie-out at one DC.
  • •First week. Agents run at L1, observing only, and show the fixes they would have made, with receipts.
  • •By week two. The routine work above runs on its own; anything sensitive stays with a named approver.
  • •At day 30. We review the impact metrics against your baseline:
  • •ERP change absorbed: from about a week to 2 h
  • •Inventory tie-out: from about a week to 8-15 min
  • •Forecast input refresh: from about 2 days to ~1 h
  • •Cost. Start with a pilot ($7,500 one-time, credited in full against the first year). Scale is from $1,000 a month and Enterprise from $3,000 a month, billed annually, with unlimited seats, no usage meter and no markup on model spend. See pricing.

Related: The logistics and transportation hub · The full team playbook

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