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Use case / AI CoA scanning

Use case / AI CoA scanning

Can AI scan a CoA into my supplier verification log?

Yes, but the useful version is not just OCR. It extracts fields, flags confidence, and leaves a human review step before the CoA becomes a record.

Updated 2026Commercial use caseAI scanner

Andrew Langevin· 2026-06-05· 8 min read

01Direct answer

AI can draft the log entry. A person still approves it.

AI can scan a Certificate of Analysis into a supplier verification log if the scanner extracts the supplier, product, lot, test date, test parameters, specification limits, results, pass/fail status, lab, and signature fields. The important part is the review step. The AI should create the draft; your food-safety person approves the record.

Classic OCR turns a PDF into text. HACCPlan's scanner is built around structured food-safety records: CoA fields become supplier-verification fields, and low-confidence values stay visible until reviewed.

Why this matters

CoAs are not paperwork decoration. They are often the evidence that an incoming lot met your supplier verification requirement before use.

02Fields

What the scanner should pull.

  1. 01

    Identity fields

    Supplier, product name, lot code, manufacture date, expiry or best-before date.

  2. 02

    Testing fields

    Parameter, method, result, unit, specification limit, and pass/fail call.

  3. 03

    Document fields

    Lab name, issue date, analyst or authorized signature, page count, and certificate number where present.

  4. 04

    Review fields

    Reviewer, review date, accepted/rejected decision, and corrective action if the CoA does not match spec.

Use the interactive version

Try the AI scan workflow

Upload a CoA or sample document, review extracted fields, and turn the result into supplier verification evidence instead of retyping the page.

Human review stays in the loop. AI drafts the record; you approve it.

03AI limits

The scanner should reduce typing, not remove judgment.

CoA formats vary by supplier, lab, product, and test method. Some are clean PDFs. Some are scans. Some use tables, symbols, handwritten marks, or multi-page attachments. That is why the useful AI workflow is structured extraction with confidence and review, not blind automation.

For food safety, the risk is not only a typo. It is accepting a lot when the CoA does not match the ingredient spec, the product name is wrong, the lot code is missing, the test date is stale, or a failed result is hidden in a table. The person reviewing the CoA still owns the decision.

Human approval stays required

AI can draft the supplier verification record. The business should still approve, reject, or hold the lot based on the specification and the actual document.

04What HACCPlan does

Convert the document into a review workflow.

HACCPlan is built to make the scanned CoA useful inside supplier management. The extracted fields should not sit in a generic document viewer. They should become supplier-verification evidence that connects to the supplier, ingredient, lot, acceptance criteria, receiving decision, and inspection record.

  1. 01

    Extraction

    Pull product, supplier, lot, dates, test results, units, limits, and certificate metadata into structured fields.

  2. 02

    Confidence review

    Highlight uncertain values so a reviewer knows where to focus instead of rereading the entire PDF.

  3. 03

    Spec comparison

    Compare results against the ingredient spec or supplier-verification requirement before accepting the lot.

  4. 04

    Record creation

    Save the approved decision with reviewer, date, document, and corrective action if the CoA fails.

05Buyer intent

Use AI where the work is repetitive and auditable.

If your team reviews one CoA a month, manual entry may be fine. If you receive many ingredients, lots, or supplier documents, scanning saves time and reduces missing fields. The value comes from moving faster while keeping the reviewer accountable.

The best first test is a supplier with repeat CoAs. Scan three recent certificates and compare the extracted fields to your current log. If the same fields are missing every time, update the review checklist before relying on the workflow.

Scan, review, approve

Turn CoAs into supplier verification records

Upload a CoA, review extracted fields, compare against the supplier requirement, and save the approved record beside the supplier file.

AI drafts the record. A person approves it.

06Related

Start with a safe demo.

Try the AI scan demo, then read the full AI document scanner and supplier management pages.

Andrew Langevin·CFIA-licensed facility, Brantford ON· Published 2026-06-05· 8 min read· Wikidata Q139112497