An AI supplier classification agent reads supplier descriptions, contracts, invoice lines and websites supplied, and proposes a spend category from your taxonomy and a supplier type such as software, professional services or logistics.
Agent reads what the supplier provides.
Agent maps it to the category scheme.
Agent proposes class codes with reasons.
Category manager accepts or changes the class.
Class is stored on the supplier record.
Agent flags records that no longer fit.
It reads attributes in documents, such as legal form, country, certifications and, where your company records it, diversity or small business status, and stores them as structured fields.
It shows the evidence behind each label, and flags suppliers that fit several categories or none.
Classification drives reporting, approval routing and risk checks, so a wrong label quietly distorts everything downstream.
Categories are typed by hand and the same type of supplier gets three names.
One vendor sells software, consulting and hardware, and only one label is kept.
New services appear that the category list does not cover.
Facts in documents, such as legal form or certifications, are not captured as data.
Different teams apply industry codes differently, so spend reports do not agree.
The agent reads descriptions, contracts, invoices and supplier documents.
It maps the supplier to your taxonomy, showing the lines or text that support the label.
Legal form, country, certifications and other attributes are written to structured fields.
Suppliers that match several categories or none are marked for a reviewer.
A person confirms or corrects each label, and corrections are recorded to improve later proposals.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Free text | Suppliers are classed from memory. | Agent reads descriptions and past invoices to propose a class. |
| Taxonomy use | Staff pick the first plausible code. | Agent picks from the agreed scheme and shows the reasoning. |
| Multi-category | A supplier fits only one label. | Agent can propose a primary and secondary class. |
| Reporting | Spend reports are skewed by misclassing. | Classes are consistent, so reports group the same way. |
| Changes | Old classes persist after scope changes. | Agent flags suppliers whose recent spend no longer fits their class. |
| If | Then | Who decides |
|---|---|---|
| the description matches one class clearly | propose it as primary | Category manager |
| two classes are plausible | show both with reasons | Category manager |
| invoices show a different service than recorded | flag the mismatch | Category manager |
| no class fits the scheme | flag for a taxonomy decision | Procurement operations lead |
| a supplier is a distributor | propose the class for what they resell and note it | Category manager |
| class is unchanged and still fits | leave it as is | Category manager |
The agent proposes the main line and lists others. The category manager decides what counts as primary.
When the scheme is updated the agent proposes remaps for review. Operations decides when to apply them.
The agent marks low confidence and asks the buyer for clarity. It does not guess a class.
The agent shows the mismatch to the category manager and the finance lead, who agree how to treat it.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Agree the class scheme.
Let the agent propose for review.
Reclassify older records in batches.
Flag drift from recent spend.
It shows how often a reviewer agrees with the proposed label. Falling accuracy means the taxonomy or the evidence needs attention.
Quick answers to what people ask most about supplier classification.
Book a demoIt is labelling suppliers by category, type and attributes so that reporting, routing and risk checks work. An AI agent can propose labels from documents and records and show its evidence for a person to confirm.
Classification says what a supplier is or provides. Tiering says how important or risky it is. Many policies use both.
Yes. It maps suppliers to the taxonomy your team defines and flags those that do not fit rather than inventing new categories.
The agent records the main and secondary candidates with the evidence and asks a person to choose the primary label.
Supplier tiering is the practice of grouping suppliers into levels, such as strategic, preferred or transactional, so that oversight matches importance and risk.
→Supplier master data is the single, trusted record of each supplier: its legal name, addresses, tax numbers, contacts, bank details and status.
→A conflict of interest check is the step of finding out whether anyone involved in selecting or managing a supplier has a personal, financial or family connection to it.
→Supplier data cleansing is the work of finding and correcting errors, gaps and inconsistent formats in existing supplier records, such as misspelt names, outdated addresses and mixed date formats.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
