INPUT DOCUMENTParser ready
Turbo Stream
Drop a logistics document hereor tap to choose a PDF, PNG, JPG, WEBP, or text file — maximum 4 MB
0Fields extracted
—Confidence
—Processing time
Core purpose
AI-assisted document processing for supply-chain teams.
Rageh Logistics Automation is designed to reduce the operational friction and administrative workload caused by manual data entry within supply-chain workflows. The platform uses document-text extraction and large language models to process unstructured shipping documents and convert relevant information into structured, review-ready JSON data. The resulting data can be reviewed by logistics personnel and prepared for integration with shipment tracking, warehouse, billing, and transportation-management systems.
Intelligent document processing
Secure frontend prepared for a Netlify serverless processing endpoint.
STRUCTURED OUTPUTWaiting for document
RAW
DOCUMENT
DOCUMENT
READY TO PARSE
VALID
JSON
JSON
Upload a logistics document to begin. Your OpenAI API key stays on the server and is never included in this HTML file.
Strategic objectives
Measurable B2B utility during development and testing.
Administrative workflow assistance
Extract important fields from incoming logistics documents to reduce repetitive, line-by-line manual data entry.
Processing efficiency
Organize document information into consistent formats so logistics coordinators can review and route information more efficiently.
Error-reduction support
Produce structured, review-ready output that helps teams identify missing information and possible transcription errors before data reaches tracking or billing systems.
Data-security prioritization
Use encrypted connections and isolated serverless processing to protect documents from public exposure while they are being processed.
Operational tracking matrix
Targets to measure and validate as the product develops.
| Operational goal | Development target | Business purpose |
|---|---|---|
| Processing efficiency | Measure API response and document-processing times | Support faster document review and shipment updates |
| Data fidelity | Validate extracted fields against source documents | Produce review-ready output and reduce transcription errors |
| Workflow reliability | Monitor successful and failed processing requests | Improve system stability during testing |
| Data security | Encrypt data in transit and restrict processing endpoints | Protect commercial records during transmission and processing |
| Human review | Require confirmation before final use or export | Prevent unverified AI output from entering operational systems |
Development-phase noticeRageh Logistics Automation is currently in development and closed testing. AI-generated results may contain errors and must be reviewed before use in shipment tracking, billing, customs, compliance, or other operational decisions. Processing speed and extraction accuracy may vary according to document quality, format, length, and system availability.
Explore potential workflow value
Illustrative estimates only; actual savings must be measured during testing.
Documents per month
Minutes per manual document
Hourly administrative cost
Estimated workflow reduction
Manual hours/month133
Potential hours saved120
Current labor cost$3,200
Potential monthly savings$2,880
Built for responsible operations
Security controls for the current testing phase, with additional production safeguards planned.
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Encrypted transmission
Documents are transmitted over HTTPS. The API credential remains in the server-side environment and is never included in the public website code.
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Human verification
Extraction results are presented for review before they enter operational systems.
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Controlled processing
Client and server checks restrict file type and size. Authentication, rate limits, retention controls, and monitoring are required before a broad production launch.