Case Study: a U.S. chemicals multinational saves $2.5M+ and protects $1.56B in revenue with Decklar Decision AI

U.S. Chemicals Multinational saves $2.5M+ and protects $1.56B in revenue with Decklar

A multinational U.S. chemicals manufacturer faced significant challenges in managing its fleet of 1,200 leased railcars used to transport high-risk chlorine. Without real-time visibility, the company lacked clarity on railcar locations, statuses, and return times, leading to rising costs, idle time, and potential production disruptions. They turned to Decklar and its Real-Time Decision AI with Visibility platform to transform its logistics.

Decklar deployed its solution across the entire fleet, combining GPS-powered solar trackers with Decision AI to provide live monitoring and predictive analytics. This enabled the company to optimize railcar circulation, predict return times, and align production plans. The implementation by Decklar resulted in over $2.5 million in annual cost savings from reduced leasing, maintenance, and labor costs, and protected $1.56 billion in revenue by ensuring production continuity.