Simplifying Fleet Data Aggregation
The evolution of the FMS and AEMP standards has allowed fleet management software to help businesses aggregate data and gather the insight they need to effectively manage their resources. By capturing data from manufacturer installed or dedicated devices, all fleet data can now be aggregated into one platform in real-time. With instant access to data through reporting, dashboards and alerts, all team members can make quick, data driven decisions.
The latest solutions now offer wider data aggregation, pulling in data through integrations with other software platforms and also driver applications.
Using Fleet Management Analytics to Gain a Competitive Advantage
Utilising fleet data analytics not only improves fleet operations, but it also gives your business a competitive edge . With the insights gathered from data aggregation, fleet managers, owners, and other stakeholders can make informed decisions about business operations. By analysing key performance indicators like equipment utilisation rates, idle times, and route efficiency, fleet managers can identify opportunities to reduce operational costs, eliminate underutilised assets and increase overall fleet productivity. Here are three areas of competitive advantage that can be achieved:
Improved Fleet Maintenance
Improved fleet maintenance is one of the primary ways in which fleet managers can use fleet data analytics. By actively monitoring equipment health, engine diagnostics, and maintenance schedules, fleet managers can follow regular maintenance intervals and address small problems before they turn into large ones. Timely maintenance reduces the risk of breakdowns, extends asset lifespan, and minimises costly repairs. Fleet maintenance software can also enhance planning accuracy by identifying patterns and predicting potential equipment failures.
Driver Safety and Risk Reduction
Fleet data analytics provides an excellent return on investment with improved driver safety and risk reduction. Driver scorecards can measure driver behaviour data, and poor driving habits like speeding, harsh braking, and excessive idling can be identified as areas for improvement. From there, better habits can be reinforced through targeted driver training programs.
Accurate fleet data can also be used to create effective commercial driver safety programs to incentivise proper driving behaviour and reward high-performing drivers. These programs have proven effective, with 91% of businesses in the TS23 Telematics Survey reporting improved safety using driver performance coaching.
Additionally, 96% of respondents reward better driving performance. These performance-based bonuses were cited as a key method organisations are using to retain drivers in the midst of the global driver shortage.