Transportation
Fleets, freight, and logistics networks generate dense operational data that most carriers and 3PLs still read a day late. We build the analytics and AI layer that turns shipment, route, and asset data into decisions that happen in time to matter.
Three things we get right in transportation.
Fleet and asset intelligence
Telematics, maintenance records, and utilization signals consolidated into dashboards that predict failures before they ground a vehicle and optimize asset deployment across the network.
Freight and shipment analytics
Lane performance, carrier scorecards, on-time delivery trends, and exception management, all from a single data layer that replaces the daily Excel pull from three TMS exports.
Route and network optimization
Historical performance data fed into models that surface better lane decisions, load consolidation opportunities, and the cost-per-mile benchmarks that make carrier negotiations concrete.
What we get asked to build.
- Fleet telematics and predictive maintenance platforms
- Freight analytics and carrier performance dashboards
- Load optimization and route intelligence
- Supply chain visibility and exception management
- Driver safety and HOS compliance analytics
- Fuel consumption optimization and idle-time reporting
- Shipper and broker performance scorecards
- Last-mile delivery analytics and on-time performance dashboards
What we bring to transportation.
TMS and telematics integration
Transportation management systems, ELD data, GPS telemetry, and carrier EDI are the raw materials. We build the integration and transformation layer that makes those sources tell a coherent operational story instead of living in separate systems.
Carrier and lane performance analytics
We have built the freight analytics platforms that help logistics teams make lane selection, carrier scoring, and load consolidation decisions on actual historical data, replacing the daily Excel export from three TMS reports.
Exception management at scale
Manual exception management breaks as shipment volume grows. We build the automated detection, routing, and resolution workflows that keep exception queues manageable without adding headcount proportional to volume growth.
Predictive maintenance for fleets
Telematics, maintenance records, and utilization data connected through a predictive model that flags vehicles likely to fail before they fail. Built on Azure ML with monitoring for model drift as the fleet ages and changes.
What clients typically see.
Doing similar work in transportation?
Tell us what you are trying to change. We will either be useful, or point you to who would be.