Trade

Product Data Agent

A supplier sends 600 items as a spreadsheet. By the time every line is converted, the season is half over.

Structures and improves product information in the PIM.

Open agent
Public administration

Four processes that take up the most time today

Developed in Germany · Hosted in the EU

Developed in Germany · Hosted in the EU or on-premises

Delivered together with

STACKIT Sovereign hosting in Germany, single-tenant from the first user.
Rödl Legal, tax and compliance expertise for legally sound deployment.
4P Consulting Advisory and implementation for the public sector, starting with the AI readiness assessment.

Every line of the supplier spreadsheet has to be converted into the shop's 28 mandatory fields.

The supplier spreadsheet gives material and dimensions as free text; the PIM requires a selection value. For every line, someone looks up the item number in the ERP, maps the attribute, writes the description and links the image. If a mandatory field is missing, the shop does not display the item, and nobody notices until the category page is half empty.

600items in the supplier runThat is how many lines come in with a spring collection.
28mandatory attributesThat is how many fields the shop requires per item before it displays it.
16,800field decisionsEvery attribute of every item is a manual step.
83items not displayedA single empty mandatory field keeps the item off the category page until someone fills it in.

With 1,142 fields from the ERP and 558 finished records, the supplier run needs 50% less data maintenance effort, leaving 42 items with uncertain values for review.

The 50% reduction in data maintenance effort is this agent's headline figure. The 600 items and 28 mandatory attributes reflect a typical run at the change of season and illustrate the process; they are not a measurement.

Three steps through the process.

The agent fills gaps in the PIM from ERP and supplier data and notes the source; a record is published only after the PIM specialist has approved it.

Check the supplier spreadsheet against the PIM schema

The agent reads the supplier spreadsheet and maps every column to a PIM attribute. It converts values supplied as free text into the schema's selection value.

Supplier run spring 2027, 600 items, 26 of 28 attributes populated, 1,200 fields open

Add missing attributes from the ERP

The agent pulls weight, dimensions and customs tariff number from the ERP and adds them to the item. It labels every added value with the source it came from.

1,142 fields added from the ERP, 58 uncertain values flagged on 42 items

Prepare item texts for approval

The agent writes a description for each item from the populated attributes and keeps to the category's tone. The PIM specialist reviews the 42 flagged items and approves the run.

558 descriptions in draft status, 42 items flagged for review

What the agent does not do.

No record leaves draft status without approval.

It writes the description and attributes into the draft and flags every uncertain value. Only the PIM specialist's review puts the item into the category.

It does not verify the supplier's material details.

It takes them from the supplied spreadsheet, with source and date. If they contradict the data sheet, purchasing resolves it with the supplier.

It does not read the supplier's catalogues.

If the care instructions appear only in the printed catalogue, the attribute stays empty and appears on the list of open fields. The PIM specialist fills it in.

Connected systems

  • PIM product data
  • ERP master data
  • shop system

Operations

  • Deployment modelEU cloud or private cloud
  • Data processingGDPR-compliant, no model training on your data
  • Responsible teamsPIM, e-commerce

The questions that come up before the first meeting.

How quickly is the Product Data Agent ready to use?

A pilot typically runs on your own data within 4 to 6 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.

Where is the data processed?

EU cloud or private cloud. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.

Where does the figure “50% less data maintenance effort” come from?

It is based on experience from comparable projects and process benchmarks, not a commitment. We work out the realistic effect for your organisation during the assessment before the pilot.

Related agents.

Intake review, case 2026/04711

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