MATCHFREIGHT AI
MatchFreight.AI provides a real-time freight execution layer that digitizes and automates logistics workflows without replacing existing carriers or requiring technology migrations. The platform offers live GPS tracking, predictive ETA models, and dynamic load assignment, delivering 5–15% transportation cost reductions with a go-live time of approximately 30 days. It targets shippers, freight brokers, and carriers handling over 10,000 annual loads.
- Logistics & Supply Chain
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Freight execution processes remain heavily manual and fragmented, relying on phone calls, emails, and spreadsheets to coordinate shipments between shippers and carriers. This lack of real-time digital connectivity leads to inefficiencies, delays, and reduced visibility across the supply chain, with hidden losses that do not appear in any current report.
Solution
MatchFreight.AI delivers a real-time freight execution layer that sits atop a company's existing logistics operation, digitizing and automating the workflow without replacing current carriers or requiring technology migrations. The platform connects shippers with carriers through a unified system, enabling live GPS tracking, automated load matching, and streamlined document management. Predictive models anticipate delays and operational times before they occur, while dynamic optimization reassigns loads based on cargo priority, destination, and capacity. By providing this real-time operational layer, the platform aims to reduce manual intervention and improve decision-making speed for logistics teams, going live in approximately 30 days.
Target Audience
Primary customers include shippers, freight brokers, and carriers, particularly manufacturing and distribution companies handling over 10,000 annual loads, seeking to digitize their freight execution processes and gain real-time operational visibility.
Features
- Real-time GPS tracking with full visibility, independent of proprietary hardware
- Intelligent carrier integration that connects with existing systems without forced migrations
- Predictive ETA and operational time models that anticipate delays before they happen
- Dynamic load assignment optimization based on cargo priority, destination, and capacity
- Benchmarking against anonymized data from multiple operations, enabling cross-industry pattern identification
- Internal gate-based deployment process where clients decide at each stage based on real data, eliminating operational risk