Baton provides a cloud‑native platform that uses AI‑driven load‑matching and predictive routing to align freight demand with available truck capacity in real time. Integrated via REST/GraphQL APIs with transportation‑management systems, it offers dashboards for utilization, deadhead reduction, and carbon‑emission analytics, helping carriers and shippers improve fleet efficiency and meet sustainability targets.
Funding
$10.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MGFounders
Product
Problem
Trucking operations routinely suffer from underutilized capacity, with a significant proportion of trucks traveling empty and freight networks operating without optimal load distribution. This inefficiency drives higher operational costs and contributes to unnecessary carbon emissions across the supply chain.
Solution
Baton delivers a cloud-native digital platform that applies advanced optimization algorithms and machine‑learning models to align freight demand with available truck capacity in real time. The system continuously ingests order, location, and vehicle data to generate load‑matching recommendations that minimize deadhead miles. By automating dispatch decisions and dynamically adjusting routing, the platform improves overall fleet utilization while reducing fuel consumption. Integrated emissions analytics quantify the carbon impact of each shipment, enabling carriers and shippers to meet sustainability targets. The solution is exposed through RESTful APIs and a web‑based dashboard, allowing seamless integration with existing transportation‑management systems (TMS) and providing actionable insights to logistics planners.
Features
- AI‑driven load‑matching engine that predicts optimal freight‑truck pairings with sub‑minute latency
- Real‑time capacity utilization dashboard displaying empty‑truck percentages, deadhead mileage, and load factors
- Predictive routing optimizer that incorporates traffic, weather, and regulatory constraints to reduce travel distance
- Carbon‑emission calculator that attributes CO₂ output to individual moves and aggregates fleet‑wide impact
- Open API suite (REST/GraphQL) for bidirectional integration with TMS, ERP, and carrier execution platforms
- Automated dispatch workflow that triggers load assignments, driver notifications, and compliance checks without manual intervention
- Dynamic pricing module that adjusts rates based on demand elasticity, capacity surplus, and sustainability incentives
- Cloud‑scale architecture with role‑based access control and end‑to‑end encryption to meet industry data‑security standards