There Are Many New Vendors, But Which Ones Are Worth Choosing? Here's How AI Can Help Screen Suppliers

How Does AI Help Vet Vendors Faster?

AI Automationcan help procurement screen and verify supplier data in a more structured manner. The system can read documents, check data completeness, match information, and then provide a status for follow-up by the procurement team.

• Vendor data can be checked from multiple documents at once.

• Information such as company name, address, NPWP, account, and PIC can be validated.

• Documents that are incomplete or close to expiration can be marked.

• Suppliers can be categorized based on the inspection results.

• Vendors with problematic data can be directed tomanual review.

For example, the company receives50 new vendor registrations per monthIf one screening process takes 20 minutes, the administrative work can take up to about16–17 hours per month.

What Should You Check During Vendor Screening?

Vendor screening isn't just about ensuring documents are available. Procurement also needs to ensure information is consistent across documents.

With AI Automation, the flow can be made like this:

Vendor Registration → Document Collection → Data Extraction → Validation → Risk Flag → Procurement Review → Vendor Approved

This approach makes the inspection process more consistent because every vendor goes through the same rules.

1. Checking the Completeness of Documents

Vendors are usually asked to send several documents according to the cooperation category.

For example:

• Company legality.

• Taxpayer Identification Number (NPWP).

• Account information.

• Permit documents.

• Certain certificates.

• Form data supplier.

With AI Automation, the system can check whether all mandatory documents are available.

If there is one document that has not been provided, the status can beIncompleteand the vendor receives a notification to complete it.

2. Extracting Data from Documents

The next problem is data scattered across various files.

The company name may be on legal documents. The tax ID number may be on another document. The bank account may be listed on a different form.

With AI Automation, this information can be extracted and mapped to the vendor master fields.

Procurement then does not need to read every document from scratch just to find basic information.

3. Checking Data Consistency

Different data between documents needs attention.

For example:

Company name in document A: PT ABC Indonesia

Company name in document B:PT ABC International

Differences like these don't always mean a problem, but they should be flagged for inspection.

With AI Automation, the system can compare certain fields and providemismatch flagwhen differences are found.

4. Check the Document Validity Period

Certain documents have an expiration date.

Workflows can use intervals such as:

H-90 → Reminder 1

H-30 → Reminder 2

Expired → Block / Review

With AI Automation, procurement can receive notification before the vendor document is completely invalid.

This helps prevent vendors whose data is no longer valid from being used without review.

5. Create a Vendor Risk Flag

Not all vendors with incomplete data should be immediately rejected.

It would be more practical if the system provided categories:

• Verified→ complete and consistent data.

• Need Review→ there is data that needs to be checked.

• Incomplete→ incomplete document.

• Expired→ certain documents are no longer valid.

With AI Automation, this category can be a trigger for the next process.

The final decision should still be made by procurement, especially for strategic suppliers or large-value transactions.

How to Create Consistent Vendor Screening?

• Create a vendor onboarding form with required fields.

• Define documents based on supplier category.

• Define validation rules before the workflow is created.

• Determine which data should be the same between documents.

• Create reminder intervals for expired documents.

• Use statusVerified, Need Review, And Incomplete.

• Set human approval for risky cases.

• Keep the original document as a reference.

• Record all activities in an audit trail.

• Connect workflows with ERP or procurement systems via APIs if needed.

• Use legal software for companies and officially licensed software.

For companies managing multiple suppliers, this approach makes the vendor screening process more manageable. Procurement can also see the reasons why a vendor is in a certain status, rather than just the final result.

FAQ

1. Can AI check the completeness of vendor documents?

Can. AI Automationcan compare available documents with a predetermined list of requirements.

2. Can data from PDF be entered into the vendor master?

Yes. Certain data can be extracted from documents and mapped to fields used in the vendor master.

3. What if the company name is different between documents?

The system can provide flagsMismatchso that procurement carries out checks before the vendor is approved.

4. Can the validity period of vendor documents be monitored?

Yes. Workflow can read the expiration date and send a reminder, for example, 90 or 30 days before the expiration date.

5. Can AI directly reject vendors?

Technically, workflows can be created to provide certain statuses, but for important decisions, there should still be human approval.

6. Can screening be differentiated based on vendor type?

Yes. IT suppliers, construction services, distributors, or professional service providers may have different document requirements.

7. Can the screening results be entered into ERP?

Yes, as long as the ERP provides an appropriate API or integration mechanism.

8. What is the biggest benefit of a screening automation vendor?

The main benefits are reducing manual checks, making validation more consistent, speeding up supplier onboarding, and making it easier for procurement to track vendor data.