INFORM to equip premier aggregates with ai-powered transport planning & execution software
Jun 10, 2024
INFORM, a global pioneer in AI-powered optimization software based in Aachen, Germany, will equip Premier Aggregates, a supplier of quality aggregates in Idaho, USA, with their AI-Powered Transport Planning and Execution software. The software will be used to optimize the dispatch of Premier Aggregates’s truck fleet.
Founded in 2011 as a transportation and logistics company, Premier Aggregates’ focus has evolved to include the production and supply of rock, sand, and gravel. The company operates a diverse fleet of trucks known for moving anything from long-term projects to single load deliveries.
INFORM’s AI solution will empower Premier Aggregates with decision intelligence, real-time optimization, and intelligent automation, ultimately elevating operational performance and customer satisfaction.
Optimizing our logistics with INFORM’s AI will not only allow us to provide best-in-class service to our customers, but also eliminate previously unforeseen inefficiencies in our fleet routing.
By reducing unnecessary truck miles, we can benefit our communities by minimizing our roadway impact, decreasing noise pollution, and lowering emissions.
“This project underscores our commitment to advancing the North American aggregates and ready-mix industry through the power of AI,” explained Thomas Bergmans, Senior Vice President of INFORM’s Logistics Division. “In addition, I’m very excited to see that this implementation will further speed up the wide-spread use of our AI algorithms for small and medium size producers.”
The AI solution at Premier Aggregates will be fully hosted and operated from INFORM’s cloud platform. HERE maps will be used for routing and geocoding; ERP and telematics functions will be provided by Fast-Weigh from TAC Insight. The project is now under deployment and is slated to go-live in Q4 2024.
Compared to standard transport planning software, INFORM’s solution is powered by AI algorithms that analyze a virtually endless number of scheduling decisions in real-time and identify those that are ideal for minimizing costs and maximizing service level and on-time performance – moving more payloads with fewer trucks each day.