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HVI - Fuel Management Software
Fuel Consumption tracking and optimize costs for your heavy vehicle fleet. With our fuel management software solution, you can easily record each fuel intake, take pictures of fuel bowsers and odometers, and capture driver signatures for accurate record-keeping.
Integration with Fuel Credit Cards
Our fuel management app seamlessly integrates with fuel credit cards, allowing you to automatically pull all outside fueling data from gas stations. This feature ensures that you have a complete overview of your fleet`s fuel consumption, whether refueling occurs at your own facilities or on the road.
Fuel Storage Record Keeping
HVI simplifies fuel storage record keeping by allowing you to track daily fuel outlet, account for all fuel given, monitor remaining fuel levels, and apply adjustments as needed. With our Fuel Management Software, you can maintain accurate and up-to-date records of your fuel storage, ensuring efficient management and preventing discrepancies.
Key Performance Indicators (KPIs)
Our fuel management software provides valuable insights through Key Performance Indicators (KPIs). You can easily track fuel cost per mile and per hour for each category of assets, enabling you to identify areas for improvement and optimize your fleet`s fuel efficiency. These KPIs empower you to make data-driven decisions and reduce overall fuel costs.
Comprehensive Fuel Management Solution
HVI offers a complete fuel management solution for your business. By consolidating fuel consumption tracking, storage record keeping, and cost analysis in one powerful app, you can streamline your fuel management processes, save time, and reduce administrative overhead. Our user-friendly interface and robust features make it easy to gain control over your fleet`s fuel expenses.
Track fuel transactions to reduce spend and identify exceptions.
No more waiting on manual record keeping, HVI app does automatic matching of fuel entries to fuel tank dip reading and delivers daily fuel report to the management. AI and Machine learning technology conduct audit reports to flag suspicious fuel log entries.