Logistics & operations
Automate the paperwork, see the whole operation
Logistics runs on documents, phone calls and spreadsheets. We replace the manual parts with AI pipelines and give teams real-time dashboards and driver apps that just work.
[ use cases ]
What we build for logistics & operations
Document extraction
Invoices, e-way bills, PODs and LRs read automatically and pushed into your ERP with exceptions flagged.
Dispatch dashboards
Live view of shipments, delays and capacity with alerts before customers notice a problem.
Driver apps
Simple Android apps with offline support, proof of delivery photos and multilingual voice prompts.
Ops copilots
Ask "which shipments to Pune are late today and why?" and get an answer from your own data.
[ our approach ]
How we build it right
Start with the highest-volume manual workflow and prove hours saved within weeks.
Integrate with existing ERPs, TMS and spreadsheets instead of forcing a big-bang migration.
Offline-first mobile apps for drivers and warehouse staff.
Exception queues so people only handle what the system cannot.
Typical stack
- Python
- Claude
- Kotlin
- Next.js
- PostgreSQL
- Temporal
- Google Maps
- AWS
[ faq ]
Logistics & operations FAQ
Often, yes. Modern vision models handle many real-world scans; anything below the confidence threshold goes to a review queue instead of being guessed.
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