Use case
Use case3 min readBy The Data Workers Team

Supplier performance data, run by agents

Supplier deliveries, quality and cost come from ERP, quality systems and portals that disagree. Here is how Data Workers runs it instead.

Key takeaways

  • •The problem today. Supplier deliveries, quality and cost come from ERP, quality systems and portals that disagree.
  • •What changes. Agents join delivery, quality and cost per supplier and keep scorecards current.
  • •What stays with your people. Scorecards shared with suppliers: contracts depend on them.
  • •The result. Supplier reviews start from current scorecards.

The problem today

Supplier deliveries, quality and cost come from ERP, quality systems and portals that disagree.

What changes with Data Workers

Agents join delivery, quality and cost per supplier and keep scorecards current.

The workflow: Connectors agent (get_connector_status) → Pipeline Building agent (generate_pipeline) → Quality Monitoring agent (set_sla) → Data Context & Catalog agent (define_business_rule).
Fig. 1:The workflow: Connectors agent (get_connector_status) → Pipeline Building agent (generate_pipeline) → Quality Monitoring agent (set_sla) → Data Context & Catalog agent (define_business_rule).

The workflow, step by step

  1. 1.The Connectors agent calls get_connector_status and lands supplier data.
  2. 2.The Pipeline Building agent calls generate_pipeline and builds scorecards.
  3. 3.The Quality Monitoring agent calls set_sla and tracks freshness.
  4. 4.The Data Context & Catalog agent calls define_business_rule and governs supplier metrics.

The impact metrics we move

  • •Scorecard refresh: from about a month to 1 day
  • •New supplier added: from about a week to 4 h
  • •Metric question: from about a day to seconds
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

  • •Scorecards refresh daily, so reviews use current data.
  • •Supplier metrics are governed, so procurement and quality agree.

Where your people stay in charge

Scorecards shared with suppliers always go to a named approver, because contracts depend on them. Everything starts at L1, observing only, and autonomy rises only on evidence.

The pilot

  • •Scope. Scorecards for top suppliers.
  • •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:
  • •Scorecard refresh: from about a month to 1 day
  • •New supplier added: from about a week to 4 h
  • •Metric question: from about a day to seconds
  • •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 manufacturing hub · The full team playbook

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