Logistics & Supply Chain.
Move things faster, with less guesswork.
From freight forwarding to last-mile, AI that turns operational data into faster lanes, fewer empty miles and cleaner paperwork.
Routing, ETA prediction and document automation for the people who keep cargo moving.
What gets in the way
Document chaos
BoLs, CMRs, customs forms — half scanned, half on paper, all blocking invoices.
Unreliable ETAs
Your customers ask 'where's my shipment'. Your TMS says 'in transit'. Both are unhappy.
Empty miles
Tribal knowledge runs the route plan. Drivers know it's suboptimal; spreadsheets can't keep up.
Where AI moves the needle
Document IDP
Multi-language extraction from BoLs, invoices and customs docs — ready to post into your ERP.
ETA prediction
ML models trained on your historical lanes, weather and port congestion data.
Dynamic routing
Re-optimize routes mid-shift as orders, traffic and driver availability shift.
Demand sensing
Spot order spikes 48 hours before they hit; position trucks accordingly.
Customer support copilots
Agents that read shipment context and draft proactive customer updates.
How we delivered
Document IDP that cleared a 9-day invoice backlog
We trained a multi-language extractor across BoLs, CMRs and customer-specific forms. Touchless processing reached 78% in week 6; billing cycle shrank from 11 days to 3.
How we work
Discovery
4–6 hour workshop. Goals, customer segments, JTBD, user flows, AI proposal, 6-month roadmap.
Architecture
Data audit, model selection, integration plan, evaluation harness, governance.
Build
2-week iterations. Demo Fridays. Built-in observability from day one.
Scale
Production rollout, change management, continuous fine-tuning and cost monitoring.
Ready to put this on the roadmap?
We run a focused discovery in 2 weeks. You leave with a working prototype and a defensible ROI case.