Sales Order Data Extraction uses AI to parse incoming sales orders from PDFs, emails, and EDI documents into structured records, enabling straight-through processing and faster order entry, by applying document intelligence to variable-format order documents, across order management and ERP integration workflows.
Order management teams manually key data from customer purchase orders received by email and fax into the ERP, a process that is error-prone, slow during peak periods, and dependent on a small group of trained order entry staff. Non-standard order formats from large customers require per-customer keying rules that are difficult to maintain.
The AI parses incoming order documents to extract order header fields (customer ID, delivery date, shipping address) and line items (SKU, quantity, price) into a structured payload validated against master data. Exceptions (missing fields or unrecognised SKUs) are routed to a human review queue.
Straight-through order processing rate increases; order entry error rate decreases.
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