The Hidden Cost of Email-Based Order Processing

document-processing automation manufacturing prototype

A mid-sized manufacturer I know receives over 200 order-related emails per day. Purchase orders, order confirmations, change requests, delivery schedules, complaints — all arriving as email attachments in PDF, Excel, or sometimes just free-text in the email body.

Three people spend their entire day sorting, reading, and manually entering this data into the ERP system. They’ve been doing this for 15 years.

The Prototype

I built a pipeline that:

  1. Classifies incoming emails by type (order, change request, inquiry, complaint)
  2. Extracts structured data from attachments — regardless of format
  3. Cross-references against existing orders in the system
  4. Flags anomalies (unusual quantities, unknown part numbers, price deviations)

The classification accuracy after fine-tuning on 500 labeled examples: 96.4%.

What Surprised Me

The biggest value wasn’t the time saved on data entry. It was the anomaly detection. The system caught a pricing error in a supplier confirmation that would have cost €34,000 if it had gone through unnoticed. The human team confirmed: they would have missed it. Not because they’re careless — because processing 200 emails a day means you stop reading carefully around email 50.

What This Means

This isn’t futuristic technology. Every component exists today. The challenge is integration — connecting to the specific ERP, understanding the specific document formats, handling the edge cases. That’s engineering work, not AI magic.

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