We took data from over 50 of our utility and municipal fleet benchmarking clients and their active Digger Derricks from 2017 to 20211. The sample included nearly 12,000 vehicles weighing less than or equal to 55,000 GVWR. The data used represents the patterns we have seen from the industry average of the selected sample.
Industry comparisons are a powerful tool that should be integral to any fleet management strategy. By analyzing your fleet’s performance metrics against industry benchmarks, you get a more accurate, apples-to-apples comparison and ultimately, deeper insights.
The start of a new year brings a new set of objectives and reflection on last year’s goals for most fleet managers. Did your fleet performed as you hoped it would? Do you have what you need to work toward goals for 2023? Business intelligence is a great tool for helping fleets prepare for these changes and create a forward-thinking management strategy.
When it comes to fleet management, the E in ESG can carry a bit more weight. With transportation being one of the greatest contributors to global greenhouse gas emissions, environmental preservation is becoming increasingly important across the industry. The practice of ESG at a higher level helps fleets to stay accountable for their negative and positive impacts.
While we have recovered from the pandemic in many ways, there are new challenges within the supply chain that persist, adding another layer of complexity to fleet management and vehicle replacement. While managers used to plan replacement a year in advance, current lead times have increased to 2-3+ years depending on the vehicle class.
BI helps fleets to futureproof by creating a reliable and repeatable management strategy that is flexible to change. With the fleet industry changing so rapidly today, this helps managers look toward long-term success, focusing on cost-reduction opportunities and sustainable resource management.
One of the greatest benefits of implementing business intelligence is the ability to turn disconnected data systems into actionable insights. Once fleet data is streamlined and cleaned, BI bridges the gap between the initial point of data collection to seeing data-driven results.