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SUPPLIER DATA

Supplier data standardization with AI

Turn inconsistent supplier descriptions into your approved categories, using a model trained on mappings your team has already reviewed.

FROM YOUR EXAMPLES

PPE / Hand Protection / Disposable
Safety Equipment

01

Data standardization for inconsistent supplier descriptions

Procurement teams often receive product and service descriptions from many vendors. One supplier might write: “Annual endpoint protection subscription” Another: “Cybersecurity software renewal” Another: “EDR license — 500 endpoints” Your organization may want all three classified under the same procurement category.

02

Historical purchasing data provides the examples

If previous purchases have already been categorized, they can train a StayCharted AMT model.

Illustrative training examples
DescriptionProcurement Category
CrowdStrike endpoint renewalSecurity Software
Dell Precision workstationComputer Hardware
Building HVAC maintenanceFacilities

The model learns from how your organization has classified previous purchases.

03

Bring supplier product photos into your taxonomy

With Vision, StayCharted AMT can learn categories from supplier or product photos as a separate image workflow. Start with photos your team has already labeled, uploaded in category folders or supplied as picture links.

For example, a photo of a backpack can be categorized as Backpacks even when a supplier’s text description is inconsistent. Use an AI Image Classifier Model, or evaluate a Dedicated AI Image Model on Business with Vision.

A picture model can also read a description column alongside each photo and learn from both. Photo categorization does not establish an exact SKU match, read part numbers through OCR, or replace your field-mapping rules. Review predictions before applying your catalog labels.

04

Useful across procurement workflows

A custom model can predict fields such as:

  • Spend category
  • Procurement group
  • Supplier type
  • Product family
  • Cost center
  • Commodity class
  • Review team

The output doesn't have to follow a public taxonomy unless you want it to.

05

Handle incoming data before it becomes another cleanup project

The model can be used when supplier data is imported rather than waiting until reporting time.

  1. Supplier File / Feed
  2. Procurement System
  3. StayCharted AMT API
  4. Internal Category
  5. Standardized Record

This can reduce the amount of manual normalization required before spend analysis, reporting or workflow routing.

06

Start with one messy field

Procurement data can be complicated. You don't need to solve all of it at once. Train on purchases your team has categorized and check the predictions against a separate set of reviewed purchases.

07

Classifying spend instead of supplier catalog records?

Spend classification categorizes purchase or invoice lines for procurement analysis. Supplier catalog standardization aligns incoming product records with your internal categories. Use the history and target labels for the decision you actually need.

Spend classification with machine learning →

STAYCHARTED AI MODEL TRAINER

Train AI to categorize the way your team does.

Start with examples you already have, see how often it’s right on items it never saw, and use confidence to prioritize the ones a person should review.

Start free