Wi-Tronix, a leader in real-time remote monitoring and AI-powered analytics for rail, has announced a strategic partnership with Cedar AI, a provider of advanced artificial intelligent (AI) solutions for rail planning and management.
Wi-Tronix, a leader in real-time remote monitoring and AI-powered analytics for rail, has announced a strategic partnership with Cedar AI, a provider of advanced artificial intelligent (AI) solutions for rail planning and management. This collaboration is set to transform how short line railroads manage train movements and operational data.
Through this integration, Cedar AI will receive a real-time location stream from Wi-Tronix, enabling automatic completion of train movement. In return, Cedar AI will provide up-to-date consist data, dynamically updated as schedules evolve across different jobs. The result is a seamless, plug-and-play solution that simplifies deployment for customers – no custom integration required.
“This partnership represents our commitment to delivering intelligent, interoperable solutions that simplify operations and drive measurable value for our customers as part of the platform,” said Chad Jasmin, VP of Sales and Customer Experience at Wi-Tronix.
By combining Wi-Tronix’s real-time tracking capabilities with Cedar AI’s intelligent planning engine, the partnership offers a plug-and-play solution that enhances operational transparency, streamlines workflows, and reduces the risk of human error.
“This exciting partnership between Wi-Tronix and Cedar AI further demonstrates our joint commitment to improving the overall supply chain,” said Joel Christensen, VP Sales at Cedar AI. “This capability not only benefits rail operations but significantly improves the shipper experience by way of real-time location updates and first-class mapping capabilities.”
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By combining Wi-Tronix’s real-time tracking capabilities with Cedar AI’s intelligent planning engine, the partnership offers a plug-and-play solution that enhances operational transparency, streamlines workflows, and reduces the risk of human error. This integrated approach accelerates time-to-value for short line railroads, delivering actionable insights and improved network reliability from day one.
