Unisys Corporation has launched a cutting-edge Multi-Modal Route Optimization (MMRO) module, a game-changing solution for freight forwarders and third-party logistics providers. Announced at the Manifest Conference in Las Vegas, this AI-driven tool aims to tackle transit delays, optimize route planning, and reduce operational costs across multiple transport modes.
Revolutionizing Freight Logistics with Smart Routing
The MMRO module enhances logistics efficiency by integrating real-time data, historical analytics, and predictive algorithms to streamline freight movement across air, sea, and land. Key features include:
- Advanced Route Optimization – Identifies the fastest and most cost-effective transport routes.
- AI-Driven Predictive Analytics – Uses weather patterns, traffic data, and cargo conditions to prevent delays.
- Seamless Multi-Modal Integration – Enables smooth transitions between air, sea, and road freight.
- Improved On-Time Performance – Enhances shipment reliability and customer satisfaction.
Solving Critical Supply Chain Challenges
With transit delays and inefficiencies costing the global logistics industry billions, Unisys is providing a technology-driven solution that helps companies overcome disruptions, manage rising costs, and optimize operations.
Chris Arrasmith, Senior Vice President at Unisys, emphasized the company’s commitment to transforming freight logistics:
“By leveraging real-time data and optimization algorithms, we help freight operators minimize delays and improve on-time performance. Our mission is to ensure efficiency at every stage of the shipping lifecycle.”
A Key Step in the Digital Transformation of Logistics
This new module integrates with Unisys’ Logistics Optimization Platform and Cargo Portal Services, reinforcing the company’s vision of a fully connected, data-driven logistics ecosystem.
As the demand for faster, more reliable freight solutions continues to grow, digital innovations like AI-powered routing and multi-modal logistics optimization will shape the future of global supply chains.
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