Delivery note photo to ERP

The problem

Bakery traceability starts at a keyboard on the receiving dock.

The truck waits racking up demurrage while someone types, or gets rushed and batches get logged wrong — surfacing weeks later in a quality issue that's impossible to trace precisely.

• The truck arrives with flour sacks or bulk, yeast, improvers or premixes: a delivery note with several lines and pallets labeled with batch and expiry.
• There are two ways out and both are bad. The truck waits while someone types every line, racking up demurrage, or it gets rushed and batches are logged wrong. With several trucks a morning, the dock becomes the first bottleneck of the day.
• A wrong flour batch is invisible on the day, and so is a missing expiry date on a yeast pallet. It surfaces weeks later, in a quality issue that can no longer be traced to the sacks that caused it.
• Meanwhile the receiving module needs several ERP licenses just so people can type what is already printed on paper and labels.

How it fits the IRIS system

Connect in photo-of-paper mode — delivery note and pallet labels, no supplier change needed.

Connect's photo-of-paper mode. Vision AI reads the delivery note's layout without asking the supplier to change theirs, and reads GS1-128, QR, barcode or plain OCR on the pallet labels. Verification with one tap on an industrial tablet.

The supplier does not have to change its delivery note and the dock does not need a new scanner. One photo of the note and the labels is enough for batch and expiry to reach the ERP correctly the first time, which is the first link every later trace depends on.

See the full IRIS architecture →

Before and after

Receiving by keyboard versus receiving by photo at the bakery

Aspect	Today	With iLEAN Connect
Truck waiting at the dock	Around 45 minutes	A few minutes
Flour and yeast batch numbers	Typed under pressure	Read from note and label
Expiry of each pallet	Often skipped	Extracted and stored
Note-versus-label mismatch	Nobody checks it	Flagged before booking
Tracing a batch back to the mill	Broken when a typo slipped in	Complete, via photo and GS1
Receiving-module ERP seats	Several active	One, the manager who verifies

Impact estimate

Impact estimate — to be validated with your bakery's numbers.

The block below is an estimate to be validated against your plant's actual data. We put it forward so the committee has an order of magnitude; we refine it during the assessment.

• 💰 CFO angle: the ERP receiving module typically needs several active licenses; with Connect only the manager verifies with one tap: a typical 50-70% reduction in receiving and warehouse seats.
• Estimated payback 3-8 months.
• From long truck demurrage to minutes per truck, every day of the week, including the early-morning deliveries when the dock has the fewest people.
• Hidden batch errors at receiving go to zero, so a flour complaint can be traced back to the exact sacks and the exact mill batch, instead of widening the search to a whole week of deliveries.

The ERP's receiving module typically requires several active licenses. With Connect, only the manager verifies with one tap — a typical 50-70% reduction in receiving/warehouse module licenses. Estimated payback of 3 to 8 months. Estimate to validate.

And the fair question from the production manager

“Every mill and every yeast supplier prints a different delivery note — will it read them all?” — yes, without asking any of them to change: the model extracts the layout with no template per supplier, and labels are read through GS1-128, QR or barcode, or plain OCR where none exists. It is an anchored task, where the best models drop below 1.5% error [1], and the manager confirms with one tap before the receipt is booked.

^[1] OpenAI paper "Why Language Models Hallucinate", 2025 — on the reliability of AI in anchored tasks.