Automate Lot Traceability: A Food Plant Scenario

To automate lot traceability is to answer in minutes a question that takes days on paper: which customers received lot X, and which supplier lots went into it. The scenario below is hypothetical, but it reflects a problem common in mid-sized food plants.

The scenario: a sauce and preserves manufacturer

Picture a plant of about 60 people making sauces on three lines and selling to wholesalers and regional chains. Incoming ingredients are logged on a paper form, production records the lot in a spreadsheet, and shipping keys the invoice into the ERP. Each step holds a piece of the story, but nothing connects the pieces.

The problem: a mock recall that took two days

In a mock recall, the auditor says a lot of pepper received on a given date has a problem: list every finished-goods lot that used it and every customer that got them. The team spent two days flipping through forms and cross-checking spreadsheets, and still doubted two lots.

The practical risks are obvious: pulling more product than necessary, pulling too little, or being slow to warn customers. Each one costs money and reputation.

The solution: a scan at every handoff

The plant keeps its ERP. It adds a light capture layer that links four events, each recorded by a scan at the moment it happens.

1. Receiving: the clerk scans the supplier label (or prints an internal one) and the system records ingredient, supplier lot, expiry and invoice.
2. Production: when materials are staged for a work order, the operator scans each package. The system generates the finished-goods lot code and stores which ingredient lots went into it.
3. Packing: case and pallet labels carry the final lot, read by handheld scanners.
4. Shipping: during loading, scans tie pallet, lot and sales order together, and therefore the customer and invoice.

The data sits in a single database while the ERP keeps handling finance and tax. This kind of system-to-system link is the typical scope of a custom automation project.

The expected result: a recall report in minutes

With capture in place, the same mock recall means typing in the ingredient lot. The system walks the links and returns a list: affected finished lots, quantities produced, how much is still in stock and which customers received it. You can export a report for the auditor and a contact list for notices.

The reverse also works. Given a consumer complaint with the lot printed on the pack, the team looks up where each ingredient came from and what was recorded during production.

Lessons from the scenario

• The value is in the links between lots, not in scanning alone. Reading a code without recording which ingredient lots went into which final lot traces nothing.
• Unreadable labels are the weak spot. Test printers, label stock and placement in the real environment, including humidity and cold.
• Start with one product and one line. Work out exceptions such as rework, reused leftovers and blended lots before expanding.
• Define the rule for partly used packages, because that is where traceability usually breaks.
• Run mock recalls regularly and time them. The measured time tells you whether the process works.

Food safety rules and customer requirements vary by market, so confirm the level of detail you need with your quality manager before designing the flow.

Frequently asked questions

Does lot traceability require replacing the ERP?

No. Capture usually runs in its own layer, connected to the existing ERP by importing invoices and orders.

Barcode or QR code for lots?

Both work. A QR code holds more data in less space, while a linear barcode is easier on older scanners. Choose based on the equipment you already own.

How long does it take to roll out on one line?

It depends on the number of steps and the state of your master data. A single-line pilot is usually planned in weeks, not days, including label tests and training.