Dean Foods Selects XATANET for Improved Equipment Utilization and Productivity Tracking
XATANET's Learned Standards Software Detects, Identifies and Reports Critical Location, Time and Event-Based Exceptions.
06/06/06 XATA Corporation, the leader in onboard fleet management systems for private fleet transportation, announced that the Dairy Group segment of Dean Foods Company selected XATA's Web-based fleet management system to track fleet productivity and improve equipment utilization.
The Dean Food Company's Dairy Group is the largest processor and distributor of fresh milk and other dairy products in the country, with products sold under more than 50 familiar local and regional brands and a wide array of private labels. Through its Dairy Group, Dean Foods Company operates one of the nation's largest refrigerated direct store delivery (DSD) route systems with over 6,500 distribution routes in operation serving 150,000 customers nationwide.
Fleets in the food supply chain typically operate in a multiple-stop environment, making it important to track driver and vehicle utilization, which can lead to immediate and significant productivity, fuel and service level improvements. With hundreds of fleet customers across every segment of the food industry, including producers, processors, grocery stores, retailers and food service providers, XATA has worked closely with its customer base to develop and implement features that support the amount of detailed route and status information necessary to optimize fleet efficiency.
"XATA has a twenty-year history of developing and deploying features that directly address the needs of companies in the food supply chain," said Craig Fawcett, XATA Chairman and CEO. "We believe that our innovative technologies can help these companies gain a competitive advantage by tracking and improving equipment utilization across the vast distribution networks and route systems required in this market."
XATA's Learned Standards software serves as an expert system by learning the important factors in a fleet's operation and instantly delivering rich fleet intelligence in real-time across all touch points by identifying, detecting and reporting location, time and event-based exceptions.
