The map of AI jobs across an organization

XY Space
WF-R02Retail and ecommerce
T3 · Writes, quarantinedAssembled

Supplier and product data onboarding

New supplier and product files show up in whatever structure that supplier used, and get normalized against the catalog schema before anything reaches the live system. A category manager checks the fields the mapping couldn't resolve on its own.

How it runs

unmappedmappedapproved
Trigger
Supplier feed droppedShared drives and file stores
Extraction
Read the product and supplier dataspreadsheets, supplier feeds
Rule
Normalize against the catalog schema
Rule
Confidence check on mapped fields
Branch
Hold unmapped fields for a category manager
Human gate
Category manager review
System writesensitive
Write the catalog entriesNetSuite
Outbound comms
Notify the channel teamMicrosoft 365 and Outlook
Outcome
Catalog updated
  • Trigger
  • Extraction
  • Rule
  • Branch
  • Human gate
  • System write
  • Outbound comms
  • Outcome

What it could return

Time spent mapping a new supplier's product file to the catalog schema by hand before it can go live.

$10,963per year, returned
422 hrsper year, back

A rough estimate until this is measured on your own numbers. Every input above is yours to change.

Systems touched

Agentic skills run

Where the human sits

New catalog data sits in a review queue; a category manager checks it against the schema, and only then does it reach NetSuite.

Confidence floor 70% — anything under that holds for a person instead of guessing.

Knowledge produced

This one doesn't produce any knowledge for memory to pick up.

Where it fits

Retail and ecommerce runs inside the commercial build. See the commercial build.

Where it sits

  1. 01The model
  2. 02Data
  3. 03Workflows
  4. 04Agentic skills
  5. 05Memory & knowledge
Workflows layer page