Automated data extraction solutions, especially AI-powered Intelligent Document Processing (IDP) platforms, accurately extract a wide array of critical information from Air Waybills (AWBs). These solutions capture granular details vital for logistics, customs, and billing.
An IDP platform like Nanonets automatically extracts virtually all key data fields from standard AWBs (Master AWB and House AWB):
- AWB Identification & Parties: Air Waybill Number (unique 11-digit), Shipper Info (Name, Address, Account), Consignee Info (Name, Address, Account), Issuing Carrier, Agent Info (Name, City, IATA Code).
- Flight & Routing Details: Airport of Departure/Destination (codes), Requested Routing/Flight (Number, Date), Intermediate airports/carriers.
- Shipment Details (Often Tabular): Number of Pieces, Gross Weight, Volume (LxWxH), Nature & Quantity of Goods (description), Marks & Numbers, Rate Class/Chargeable Weight, Commodity Item Number.
- Financial & Administrative Details: Declared Value (Carriage/Customs), Charges (Prepaid/Collect, Other), Currency, Special Handling Info, Shipper's Signature (presence detection), Date of Issue.
How IDP Solutions Achieve This:
Nanonets uses sophisticated ML algorithms trained on vast logistics documents. This allows AI to:
- Understand Context: Discern field meanings regardless of position or labels.
- Handle Layout Agnostically: Accurately extract data even if AWB layouts vary across carriers.
- Process Scanned/Handwritten Data: Advanced OCR/HTR extracts from image-based or partially handwritten AWBs.
- Extract Tabular Data: Precisely captures line items from complex tables, even without clear borders.
- Customization: Nanonets allows training custom AI models for unique AWB variations or specific fields.
This granular, accurate data extraction transforms unstructured AWBs into structured, actionable information for TMS, WMS, ERPs, and other logistics systems.
