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Transforming Driver Workflows: A Case Study on UniGroup and Samsara
Applicable Industries
- Buildings
- Transportation
Applicable Functions
- Procurement
Use Cases
- Driver Performance Monitoring
- Inventory Management
Services
- System Integration
The Challenge
UniGroup, a $1.5 billion transportation cooperative, faced a unique challenge due to its complex organizational model. The cooperative, which handles one-third of all professional moves in the United States, is owned by over 160 member agencies. This structure necessitates that their drivers switch between multiple operating authorities (MOAs), complicating the tracking of miles and hours of service (HOS). The need to streamline HOS management and maintain compliance with federal regulations was paramount. However, the solution had to be easy to install and capable of innovating alongside UniGroup's evolving needs.
About The Customer
UniGroup is a $1.5 billion transportation cooperative owned by more than 160 member agencies. It handles one-third of all professional moves in the United States, making it a significant player in the transportation industry. The cooperative operates a fleet of 4,700 vehicles and employs 5,500 drivers who collectively drove 137 million miles in 2021. Due to its complex organizational structure, UniGroup's drivers must switch between multiple operating authorities, which presents unique challenges in tracking miles and hours of service.
The Solution
In collaboration with Samsara, UniGroup developed a new feature within the Samsara Driver App that allows drivers to easily switch between MOAs. This feature, coupled with guided workflows that remind drivers to certify their logs at the end of the day, has revolutionized UniGroup's operations. It has simplified drivers' daily workflows and streamlined HOS management. Furthermore, UniGroup leveraged Samsara’s open API to automate their fuel purchase data processing. After a driver takes a picture of a fuel receipt using the digital Documents feature in the Driver App, the fuel purchase data is automatically integrated into UniGroup’s mainframe system. It is then cross-checked against HOS data to proactively identify instances of theft or fraud, thereby increasing efficiency and reducing manual work for their back office.
Operational Impact
Quantitative Benefit
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