How to automate document entry in Epicor Kinetic with AI

That is the normal condition, and it is what separates AI extraction from traditional templated OCR. Template-based tools need a configured layout per customer and break when a customer changes their form. Extraction based on language models reads for meaning rather than position, so a new layout does not require setup. The practical consequence is that automating a long tail of small customers becomes viable, where template systems only ever paid off on the top few.

Each channel needs its own intake path but should converge on one processing queue, otherwise you end up with several partial automations and no single view of what is outstanding. EDI is already structured and should bypass extraction entirely. The mistake worth avoiding is building the automation around email only, then discovering that a third of orders arrive through customer portals that someone downloads by hand.

Handwriting recognition is far less reliable than printed text, and a scribbled amendment on a purchase order often carries the most important instruction on the page. The safe design treats any detected handwriting as a reason to route for human review rather than a field to extract. Suppressing that rule to raise the automation rate is how a system starts confidently ignoring the words "do not ship before".

This is usually the hardest part of order automation and it is a data problem, not a reading problem. The document says what the customer calls the item; your ERP needs your own part number. A cross-reference table between customer part numbers and internal SKUs has to exist and be maintained, otherwise every order stops for a human to translate. Building that table is frequently the real project.

Legibility, mainly. Scans taken at low resolution, faxes of faxes, and photographs taken at an angle all reduce accuracy in ways no model fixes. If a document arrives poorly, the practical improvement is often upstream: ask the customer to send a PDF rather than a scan, or accept the order through a portal. That conversation is cheaper than tuning extraction against unreadable inputs.

No, and it should not. EDI is more reliable than any extraction because the data is structured at the source. Document automation earns its place with the customers who will never do EDI, which in most manufacturers is the majority by count. The sensible framing is coverage: EDI handles the large accounts that agreed to it, AI handles everything else, and both post into the same ERP.

The intake has to hold the document and retry rather than fail silently, and someone has to be able to see what is stuck. This is the least glamorous part of the design and the one most often skipped. Ask specifically what happens to a document that was extracted correctly but rejected on posting, because that is where records quietly disappear in poorly built integrations.

Start with whichever document arrives most often in an unstructured format, which in most manufacturers is the customer purchase order. Sales orders repay automation fastest because a keying error there propagates into production, shipping and invoicing. Time sheets and packing slips are usually higher volume but lower consequence. Ranking by consequence rather than by volume tends to produce a better first project, because it gives you a visible win rather than a quiet one.

Not by the percentage of documents processed automatically, which is easy to inflate by lowering confidence thresholds. Better measures are the number of documents that required rework after posting, the time from document arrival to it being actionable in the ERP, and the size of the exception queue at the end of each day. A rising automation rate alongside a rising rework rate is a system being pushed past what it can actually read.

The rules belong to the business and the plumbing belongs to IT. Part number cross-references, approval routing and which customers are in scope are decisions the order desk should own, because they change constantly and IT has no basis for making them. If every rule change becomes an IT ticket, the automation ages badly and people quietly go back to keying.