01
Fleet & transport management
Vehicle tracking, trip management, driver apps, and maintenance scheduling in one operational view.
Industries — Logistics
Every shipment, visible. Every route, optimized.
Fleet management, shipment tracking, and warehouse systems for 3PLs, carriers, and shippers — the end-to-end transformation we delivered for SheLogistics, productized.
Where we help.
02
Shipment visibility
Real-time tracking, exception alerts, and customer-facing status pages that cut "where is my order" calls.
03
Warehouse operations
Inbound, putaway, picking, and dispatch workflows with barcode/RFID support.
04
3PL platforms
Multi-client operations, rating, and billing — the SheLogistics engagement pattern.
AI, applied to logistics.
Production AI use cases we build for this industry — governed, secure, and measured against outcomes.
AI use case
Route optimization
Routing that accounts for traffic, windows, and vehicle constraints — fuel and hours down, on-time up.
AI use case
ETA prediction
ML-based arrival estimates that get more accurate with every trip.
AI use case
Demand & capacity planning
Forecasts that balance fleet capacity against seasonal and lane-level demand.
AI use case
Document automation
AI processing of PODs, invoices, and LRs — billing without the paper chase.
Relevant services.
Frequently asked questions.
Can you integrate GPS and telematics hardware?
Yes — GPS devices, fuel sensors, and telematics feeds are standard integrations; we are hardware-agnostic.
How did the SheLogistics engagement work?
An end-to-end operations transformation: fleet, shipment, and billing workflows unified onto one platform — the case study is available on request.
Do driver apps work offline?
Yes — offline-first driver apps with sync are standard for low-connectivity routes.
Can customers track their own shipments?
Yes — white-labeled tracking pages and notification flows are part of the shipment-visibility module.
Use cases
Where we put technology to work in logistics
Control-tower visibility
Every shipment, vehicle, and exception on one live picture from first mile to last.
Route & load optimization
Continuous planning that cuts empty kilometers and improves on-time performance.
Honest ETA prediction
ML models that tell customers the truth early — exceptions flagged before they are felt.
POD & document automation
Proof-of-delivery, invoices, and customs papers extracted and reconciled without re-keying.
Fleet & cold-chain IoT
Telematics and temperature telemetry with alerts that protect cargo and contracts.
Carrier & marketplace integration
One coherent operational layer across carriers, ports, ERPs, and customer systems.
In depth
Logistics technology: visibility, optimization, and margin in motion
Logistics margins live in the gaps — idle trucks, blind handoffs, manual paperwork at every node. Our SheLogistics transformation work taught us where technology closes those gaps: end-to-end shipment visibility, route and load optimization, and paperwork that processes itself.
We build TMS integrations, control-tower dashboards, driver and customer apps, and IoT-based tracking for fleet and cold chain. Machine learning predicts ETAs honestly, plans capacity against demand, and flags exceptions before customers feel them; document AI clears PODs, invoices, and customs papers without re-keying.
The integration surface is wide — carriers, marketplaces, ERPs, ports — and our data engineering practice keeps it coherent: one operational picture from first mile to last, feeding both the dispatch desk and the CFO’s margin analysis.
Control-tower visibility
Every shipment, vehicle, and exception on one live operational picture.
Optimization that compounds
Routes, loads, and capacity tuned continuously by models, not spreadsheets.
Self-clearing paperwork
PODs, invoices, and customs docs extracted and reconciled automatically.