Top 5 Ideas To Improve Your Fleet Management With Data Analytics | HData Systems
Table of Content
- What is fleet management?
- What does a fleet manager do?
- What are the benefits of fleet management?
- Use of large-scale data (Big Data)
- Conclusions.
What is Fleet Management?
Fleet management within a field of road transport is defined as the process adopted by fleet managers for the design of a strategy aimed at maximizing safety, efficiency and productivity in the organization and daily management of commercial vehicles, trailers, loads and drivers.
Frequently, the above objectives are achieved thanks to the combination of the following elements:
- Real-time information on the location and status of vehicles and goods.
- Driver behaviour monitoring.
- Information on fuel consumption.
- Preventive management of vehicle maintenance.
The fleet manager is the person in charge of ensuring the correct performance of these activities and his position involves managing a series of key processes and tasks to achieve logistical and business objectives.
Companies and managers often use solutions that combine technological and human factors, to achieve improved efficiency and reduced operating costs.
What Does a Fleet Manager Do?
A fleet manager is generally in charge of the following tasks:
In short, the fleet manager is an indispensable professional for most companies in the logistics and transport sector (whether for goods or passengers). Professionals dedicated to this function need both knowledge within the logistics and transportation area, as well as skills for data analysis, the use of monitoring tools and people management.
What Are The Benefits of Fleet Management?
The main benefits that intelligent fleet management brings are cost reduction and productivity improvement. However, we have to differentiate between business objectives in the short, medium and long term. From this point of view, the main benefit of fleet management lies in the possibility of generating a sustainable competitive advantage, as a consequence of the improvements derived from the processes involved in it.
The individual improvements that lead to the generation of this competitive advantage are the following:
- A reduction in fuel consumption.
- A more efficient cost distribution.
- Improvements in the safety of drivers, vehicles and cargo.
- Better optimized delivery routes and the possibility of updating routes in the event of unforeseen events.
- Two-way communication between drivers and managers is improved.
- Improvements in the talent retention ratios in the company.
- Vehicle performance is improved thanks to preventive maintenance.
- Finally, customer satisfaction and brand image are reinforced.
Use of Large-Scale Data (Big Data)
Large-scale data (Big Data) instantly provides fleet managers with information about their drivers, trucks and trailers through an on-board computer, telematics devices and connected software solutions. They collect all the information about your fleet, process and analyse it.
What is the end result? Practical information on issues such as:
- Driver performance.
- Fuel consumption.
- Profitable routes.
- Operational costs.
Through all this data, you can easily prepare reports for shareholders, detect problems and plan training actions to combat any problems. For example, TX-FUELCOMPASS is a software solution that uses large-scale data analysis (Big Data) to process large amounts of information about fleet fuel and refuelling costs. Comprehensive visualization and analysis allow you to suggest cost-effective refuelling procedures based on past performance.
Conclusions:
Fleet management tools provide visibility into vehicles and their status, as well as real-time information on performance indicators. For this reason, most fleet managers already use solutions that help them maximize productivity, efficiency and safety. Key pieces in any winning fleet management strategy. Our developers at HData Systems can assist you with excellent fleet management solutions.
Originally published at https://www.hdatasystems.com.