Use cases · Manufacturing & quality
Traceability records from delivery paperwork
Read delivery notes, certificates and batch logs as they arrive, extract lot numbers, suppliers, dates and quantities into one consistent record, and flag anything missing or inconsistent for the quality lead.
Where it starts
The trigger.
A delivery, certificate or batch log arrives by email, scan or upload.
How it runs today
- Lot numbers and dates are typed in by hand from paper or PDFs.
- Missing certificates are found during an audit instead of on arrival.
- Tracing a lot back to its supplier takes hours of searching.
The workflow
Four bounded steps.
Each step has an owner and a stop rule.
- 01 / Read
Extract supplier, lot or batch number, dates, quantities and certificate references from each document.
- 02 / Match
Link each delivery to its purchase order, certificates and the batches it went into.
- 03 / Flag
Flag missing certificates, mismatched quantities and expired or unclear documents.
- 04 / Confirm
The quality lead reviews flags and confirms or corrects each record.
Where people stay in control
Approval points.
- The quality lead confirms every flagged record.
- Decisions to accept, hold or reject a delivery stay with people.
How we would measure it
Against a baseline.
Measured before and after, on the same work.
Time to trace a lot back to its supplier.
Deliveries with a missing certificate found on arrival rather than later.
Time spent on manual data entry each week.
Related
Go deeper.
More use cases
Other places to start.
Visual quality inspection
Check parts or products from camera images for visible defects or missing components, and send uncertain cases to an inspector instead of guessing.
See the workflow Manufacturing & qualityMaintenance logs and repeat failures
Read work orders and maintenance notes across machines, group similar failures, and give the maintenance lead a weekly list of repeat problems to investigate.
See the workflow Manufacturing & qualitySafety gear compliance checks
Use existing cameras to spot when required safety gear, such as hard hats or high-visibility vests, is missing in a defined area, and alert the area supervisor without identifying anyone.
See the workflowAn illustrative workflow pattern, not a result from a specific customer.
Bring the messy version
One workflow.
A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
---
title: "Traceability records from delivery paperwork: AI Use Case"
description: "Read delivery notes, certificates and batch logs as they arrive, extract lot numbers, suppliers, dates and quantities into one consistent record, and flag anything missing or inconsistent for the quality lead."
url: https://lidvizion.ai/use-cases/traceability-records-from-delivery-paperwork/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Use cases](https://lidvizion.ai/use-cases/) · Manufacturing & quality
# Traceability records from delivery paperwork
Read delivery notes, certificates and batch logs as they arrive, extract lot numbers, suppliers, dates and quantities into one consistent record, and flag anything missing or inconsistent for the quality lead.
[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Ftraceability-records-from-delivery-paperwork%2F#write) · [Automate the repeatable](https://lidvizion.ai/services/automation/)
Where it starts
## The trigger.
A delivery, certificate or batch log arrives by email, scan or upload.
How it runs today
- Lot numbers and dates are typed in by hand from paper or PDFs.
- Missing certificates are found during an audit instead of on arrival.
- Tracing a lot back to its supplier takes hours of searching.
The workflow
## Four bounded steps.
Each step has an owner and a stop rule.
1. 01 / Read
Extract supplier, lot or batch number, dates, quantities and certificate references from each document.
2. 02 / Match
Link each delivery to its purchase order, certificates and the batches it went into.
3. 03 / Flag
Flag missing certificates, mismatched quantities and expired or unclear documents.
4. 04 / Confirm
The quality lead reviews flags and confirms or corrects each record.
Where people stay in control
## Approval points.
- The quality lead confirms every flagged record.
- Decisions to accept, hold or reject a delivery stay with people.
How we would measure it
## Against a baseline.
Measured before and after, on the same work.
### Time to trace a lot back to its supplier.
### Deliveries with a missing certificate found on arrival rather than later.
### Time spent on manual data entry each week.
Related
## Go deeper.
- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Client vs. server: where code runs](https://lidvizion.ai/resources/basics/backend-client-vs-server/): What belongs in the browser or app, and what must stay on a server you control.
- [Make every lot traceable from day one](https://lidvizion.ai/guides/make-every-lot-traceable-from-day-one/): A four-step playbook to agree what a traceability record must contain, read paperwork as it arrives, link deliveries to batches and have the quality lead confirm every flag.
- [How to Prepare Company Data for AI](https://lidvizion.ai/answers/how-to-prepare-company-data-for-ai/): How should a company prepare its data before using AI?
More use cases
## Other places to start.
[All use cases](https://lidvizion.ai/use-cases/)
- [Visual quality inspection](https://lidvizion.ai/use-cases/visual-quality-inspection/): Manufacturing & quality Check parts or products from camera images for visible defects or missing components, and send uncertain cases to an inspector instead of guessing.
- [Maintenance logs and repeat failures](https://lidvizion.ai/use-cases/maintenance-log-repeat-failures/): Manufacturing & quality Read work orders and maintenance notes across machines, group similar failures, and give the maintenance lead a weekly list of repeat problems to investigate.
- [Safety gear compliance checks](https://lidvizion.ai/use-cases/safety-gear-compliance-checks/): Manufacturing & quality Use existing cameras to spot when required safety gear, such as hard hats or high-visibility vests, is missing in a defined area, and alert the area supervisor without identifying anyone.
An illustrative workflow pattern, not a result from a specific customer.
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)