IFS Cloud document automation for manufacturers

For manufacturers, supplier invoices for raw materials and MRO, customer purchase orders with long line-item grids, and RFQs that need fast, accurate quotes all arrive by email and get retyped by hand. DynamoDocs captures each of those documents from a monitored mailbox or upload, reads every field with AI (no per-vendor template), suggests a GL account for each line, and posts it into IFS Cloud through a REST endpoint in front of IFS Cloud, or CSV files for an IFS data migration job. No dedicated IFS connector ships today. Records are posted as JSON to a REST endpoint you put in front of IFS, or written as CSV files for an import job. Clean documents post automatically; only exceptions reach a person, so a mis-keyed part number never stalls a production run or a month-end close.

It becomes a supplier invoice in IFS Cloud, with header and line-item fields validated before anything posts. Delivers supplier invoices, customer orders, and quotations shaped to the fields you map. A visual field-mapping engine shapes the record into exactly what IFS Cloud expects, so nothing is retyped and nothing posts half-filled.

DynamoDocs suggests a GL account for each line from your keyword rules and from how the same part or description was coded before, and a person confirms it. It does not assign department and job or work order for you, but where a document prints them they can be captured as added fields and mapped into the record IFS Cloud receives. Anything that fails a validation rule is flagged field-by-field for a quick fix before it posts.

Purchase orders become a customer order and RFQs become a quotation in IFS Cloud, with every line, raw-material and MRO supplier invoices included, read and validated first. Maps suppliers, customers, accounts, and part numbers to the ones already in IFS.

Keying one document into IFS Cloud typically takes 5–10 minutes and costs $2–$6 in labor, before the cost of fixing a mis-keyed line. DynamoDocs does it in seconds and only flags exceptions, so the labor left is the review time on those, while a mis-keyed part number never stalls a production run or a month-end close.