Technology firm Batch Freight aims to transform freight logistics with its Advanced Trucking & Logistics Automation System (ATLAS), a subscription-based transportation management system that promises to leverage artificial intelligence and quantum computing to establish “new standards” in pricing accuracy and speed.
The company’s system prices 200,000 freight lanes daily across the continental United States, Batch reported. This achievement is made possible by the ATLAS platform’s fusion of advanced AI algorithms and quantum-computing power. The technology offers pricing capabilities for specialized transportation modes, including refrigerated units, dry vans, flatbeds, and drayage containers.
“Our AI-driven approach allows us to assess real-time market trends and extract detailed information from our data sources through proprietary algorithms, all of which influence our pricing accuracy and forecasting capability,” Mirna Kusalovic, Batch chief technology officer, said in a news release.
Batch’s approach processes data in a new way and delivers more information from traditional sources than previously possible, the company said. This allows Batch to provide carriers and shippers with the most up-to-date and competitive pricing information, enabling “rapid and informed” decision-making.
By providing more accurate and dynamic price quoting, the company also is helping reduce inefficiencies in the market, leading to better resource allocation and potentially lower costs for shippers.
In a step toward sustainability, Batch’s proprietary AI technology can help reduce empty miles and carbon emissions in drayage, import, and export shipping. The system optimizes container movements, decreasing wasted trips and idle time at ports. By efficiently bundling shipments and coordinating pickups and deliveries, Batch’s AI not only cuts costs but also reduces the carbon footprint of international trade operations, the company stated.
“We’re already working on ways to expand our predictive capabilities to other areas of the supply chain, always with the aim of driving efficiency, reducing costs, limiting carbon emissions, and improving decision-making,” Kusalovic concluded.
