Document intelligence — Logistics
OCR and language models that extract, validate and route paperwork. Delivered for a logistics client in Vadodara.
- Location
- Vadodara
- Year
- 2024
- Duration
- 7 weeks
- Team
- 14 engineers
- 97%
- field accuracy
- 7.4×
- faster processing
- 34k
- docs per day
The challenge
The logistics team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.
What we built
Built in our Motera lab, validated on a replica rig, then commissioned on site in days using PaddleOCR and FastAPI.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Runs on-premises; no data leaves the site unless agreed
- Operator training delivered in Gujarati, Hindi and English
- Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
- Documentation, drawings and source handed over at close
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