THE COST OF MANUAL DATA ENTRY
Manual document processing is taxing your operation silently
Every document your team processes manually takes longer than it needs, which stalls billing, shipping, and onboarding.
Typos in tracking numbers and invoice amounts result in direct financial losses: chargebacks, delays, and failed shipments.
Business growth is capped by the manual processing speed of your back-office staff. Scaling means hiring, indefinitely.
THE SOLUTION
From chaos to clean, actionable data
AutoFill is a universal, self-hosted microservice designed to automate data extraction from unstructured documents (PDFs, scans, photos) and instantly populate structured forms in TMS, ERP, and WMS systems.
Document-to-Form
Extracts data and populates your digital forms automatically.
AutoFill ingests any document — invoice, BOL, CMR, packing list — and fills the corresponding fields in your target system in seconds. No copy-pasting, no reformatting.
Intelligent Field Mapping
Understands context, not just text.
The engine maps document fields to your specific database schema using semantic understanding, not rigid templates. Non-standard layouts, handwritten notes, and crumpled scans are handled the same way.
Agnostic Format Support
High-quality PDFs to crumpled photos — same result.
AutoFill processes everything from clean digital documents to low-resolution scans and handwritten notes. Input quality doesn't determine output quality.

SEE IT WORK
AutoFill in Action
Built for Logistics: Pre-trained for CMR consignment notes, Bills of Lading, Invoices, Packing Lists, and other logistics documents.
HOW IT WORKS
From signed scope to live pilot in days, not weeks
Environment Setup
We set up in your preferred AWS, GCP, or Private Cloud, allocating VMs or Kubernetes clusters, databases, and secure networks.
System Deployment
We deploy the containerised system via Docker. Within 1–2 hours the platform is configured, connected to required APIs, and running inside your perimeter.
Integration & Launch
We connect the solution to your workflows via REST API. Configure document templates and business logic with zero coding required, then launch immediately.
CORE CAPABILITIES
Built for enterprise-grade document operations
Self-hosted document-to-form engine ensuring total data sovereignty
Reference architecture powered by OCR, LLM, and Vision models
Purpose-built for logistics, operations, and customs workflows
Semantic field mapping beyond basic text recognition
Unified JSON output structured for your specific data schemas
Lightweight microservice architecture for seamless deployment
WHAT OPERATIONS TEAMS TYPICALLY GAIN
Measurable outcomes
One document is processed 400% faster than manual entry — the same throughput with a fraction of the staff.
AutoFill eliminates transcription mistakes from the pipeline — tracking numbers, amounts, and IDs arrive clean.
Operates on-premise without sending data to third-party clouds — full data sovereignty from day one.
APPLICATION AREAS
Built for the teams drowning in documents
Order & Shipment Creation
Automates the creation of orders and shipments by transferring customer PDF data directly into TMS — eliminating manual re-entry across dozens of customer document formats.
DIFFERENTIATORS
AutoFill is not a generic OCR tool
| Criterion | AutoFill | Standard OCR / SaaS Tools |
|---|---|---|
| Deployment | Self-hosted — data never leaves your infrastructure | SaaS-only; documents uploaded to vendor cloud |
| Document Understanding | VLM + LLM pipeline — spatial layout + semantic context | Basic OCR; fails on non-standard layouts and scans |
| Field Mapping | Semantic mapping to your specific schema | Fixed templates; requires manual reconfiguration |
| Domain Fit | Pre-trained on logistics documents — BOL, CMR, invoices, packing lists | Generic extraction; no logistics-specific normalisation |
| Output | Unified structured JSON ready for TMS / ERP / WMS | Raw text dump; integration requires development |
FAQ
Questions we hear before every pilot
Ready to eliminate manual document entry?
We'll set up AutoFill in your environment and run a live pilot on your documents. You see results before you commit.
