TechValidate Research on FleetLocate


FleetLocate Case Study

Holmes Blacktop: “Very Accurate and the Customer Service is Great”

Introduction

This case study of Holmes Blacktop is based on a January 2020 survey of FleetLocate customers by TechValidate, a 3rd-party research service.

“If you have an issue with speeding drivers, use this.”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select FleetLocate:

  • Hoped to address the following with FleetLocate:
    • Better know where their drivers/vehicles/assets are at all times

Use Case

The key features and functionalities of FleetLocate that the surveyed company uses:

  • Have seen tangible improvements in the following since implementing FleetLocate:
    • Their ability to identify what drivers need improvement
    • Speeding violations
    • Reducing harsh braking
    • A safer fleet overall
  • Have seen tangible improvements in the following since implementing FleetLocate:
    • A more productive fleet overall
  • Have seen tangible improvements in the following since implementing FleetLocate:
    • Their confidence that vehicle/assets are where they’re supposed to be
    • Their confidence that vehicles/assets are being used evenly
  • Have seen tangible improvements in the following since implementing FleetLocate:
    • Maintenance management overall
  • Have seen tangible improvements in the following since implementing FleetLocate:
    • Idling time
    • Control of fleet costs overall

Results

The surveyed company achieved the following results with FleetLocate:

  • Saw levels improved in the following areas since implementing FleetLocate:
    • Cost savings: moderate improvement
    • Fleet maintenance: moderate improvement
    • Fleet/asset utilization: significant improvement
    • Fleet productivity: significant improvement
    • Fleet safety: significant improvement




About This Data

This data was sourced directly from verified users of FleetLocate by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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