Case StudyNo. 002
AI Solutions · Logistics · 2026
FleetAI
Intelligent SaaS platform automating freight quoting, fleet tracking, and carrier operations with machine learning.
Client
Regional freight carrier
Timeline
4 months
Year
2026
The challenge
Dispatchers spent hours manually pricing loads, leading to inconsistent quotes and lost bids to faster competitors.
Our approach
We trained a pricing model on historical lane data and live market rates, then wrapped it in a dispatcher-first interface with one-click quote generation and live fleet tracking.
Results
80%
Faster quote turnaround
22%
Quote win-rate lift
100+
Carriers onboarded
PythonTensorFlowReactMapbox
More work