AI Document-to-Form automation engine
Development of a universal microservice for automated data extraction from unstructured documents (PDFs, scans, photos) and automated form filling for logistics and ERP systems
Application areas
The AutoFill Engine is designed to automate high-friction operational workflows across the supply chain. Key applications include the automated creation of orders and shipments by transferring customer PDF data directly into TMS, and the instant processing of Proof of Delivery (POD) documents to accelerate billing cycles. It also provides high-precision extraction for complex customs and compliance documents, such as invoices and packing lists, where non-standard forms are common. Ultimately, the service drives back-office digitalization, enabling customs brokers and logistics providers to scale their operations without a linear increase in headcount
Pain points
- Typos in tracking numbers and invoice amounts result in direct financial losses
- Business growth is limited by the manual processing speed of back-office staff
- Waiting for manual document processing stalls billing, shipping, and onboarding
Solutions
- Document-to-Form: Automatically extracts data and populates digital UI forms
- Intelligent Mapping: The system "understands" context and maps document fields to your specific database schema
- Agnostic Format Support: Processes everything from high-quality PDFs to crumpled photos and handwritten notes
Product description
The product was engineered as a high-performance "Document-to-Form" engine designed to solve the critical gap between raw OCR and structured business logic. Unlike standard SaaS-only solutions, our implementation follows a reference architecture that combines Vision-language models (VLM) for spatial document understanding and LLMs for domain-specific normalization.
The core logic focuses on the "extract-normalize-map" pipeline: ingesting messy PDFs or images, identifying key logistics entities (e.g., BOL numbers, container IDs, line items), and mapping them directly to a target domain model. To meet enterprise security requirements, the engine was built as a self-hosted microservice, enabling deployment within private clouds or on-premise servers.
Core product highlights
Values
A universal self-hosted microservice that transforms unstructured chaos into clean, actionable data
- One document is processed 3-5 times faster
- Eliminates human factor mistakes during data migration
- Lowers overhead costs associated with manual data entry teams
- Operates within your secure perimeter (On-premise) without sending data to third-party clouds
