AI Document Extraction for Orders
AI reads purchase orders, invoices, and shipping documents so your team can focus on fulfillment
AI document extraction uses machine learning to read, understand, and extract structured data from unstructured documents. For B2B order processing, that means extracting line items, quantities, pricing, and shipping details from PDF purchase orders, email bodies, scanned documents, and any other format customers send orders in.
From OCR to AI: What Changed
First-generation document extraction used OCR (optical character recognition) to convert images to text, then template-based rules to find data in specific locations on the page. This works until the layout changes. AI-based extraction is fundamentally different: it reads the document the way a person does, understanding context, relationships between fields, and the meaning of the data. 'Qty: 100 cs' next to 'SKU: ABC-123' is recognized as 100 cases of product ABC-123 regardless of where it appears on the page.
What AI Extraction Actually Extracts
For purchase orders, AI extraction captures: customer name and address, PO number, requested delivery date, line items with product codes (SKU, UPC, or internal codes), quantities and units of measure, unit prices and extended prices, shipping instructions, and any special notes or requirements. The extracted data comes out in a structured format ready for validation and ERP sync.
How OrderSync Uses AI Extraction
OrderSync's document AI processes incoming orders from any source. Email attachments, uploaded files, and scanned documents all get the same treatment. The AI extracts structured order data, matches line items against your product catalog, validates pricing against customer-specific price lists, and flags anything uncertain for human review. No templates to build, no zones to configure, and no re-configuration when a customer changes their PO layout.
How OrderSync Solves This
Industries Affected
This challenge is particularly common in these industries:
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Frequently Asked Questions
What is the difference between OCR and AI document extraction?
OCR converts images to text character by character, while AI document extraction understands the context and structure of a document. OCR sees characters; AI understands that '100 cs' next to a SKU means 100 cases of that product, regardless of where it appears on the page.
How does AI handle purchase orders it has never seen before?
AI-based extraction reads documents contextually rather than relying on predefined templates. It identifies line items, quantities, pricing, and shipping details by understanding the relationships between fields, so it handles new PO formats from new customers without any configuration.
What accuracy rate should I expect from AI document extraction?
Modern AI extraction achieves 95-99% field-level accuracy on typed documents. When the AI is uncertain about a value, it flags it for human review rather than inserting incorrect data, which keeps end-to-end accuracy above 99% for orders that reach your ERP.