Fleet Management is an increasingly important and valuable part of the Logistics industry, especially during recent times when ensuring access to essential goods and services is paramount. Whilst other industries have been negatively affected by the COVID-19 pandemic, the Fleet Management market is expected to grow from USD 19.9 billion in 2020 to USD 34.0 billion by 2025.
These fleets can be comprised of a range of vehicles including commercial motor vehicles (cars, vans, trucks), forklifts, trailers, private vehicles used for work purposes (the ‘grey fleet’), aviation machinery such as aircraft (planes and helicopters), ships, rail cars and other non-powered assets such as generators, tanks, gear boxes, dumpsters, shipping containers, trailers, and excavators.
The largest private fleet in the US is operated by AT&T who manage over 60,000 vehicles followed by CPG/FMCG giant PepsiCo with over 51,000 (source). Organizing and coordinating fleets of these sizes involves a number of key tasks, including:
Using Location Intelligence in the fleet management process allows companies to improve efficiency, reduce costs, and provide compliance with government regulations. Visualizing fleet assets & optimizing their activity with data streams such as traffic, weather, & routing data can, if done properly, lead to double digit savings for organizations.
A key component in fleet management is vehicle telematics. The effective use of vehicle telematics hardware, supported by GPS, can assist fleet managers in tracking their vehicles for asset protection, provide stakeholders with accurate information on the movement of goods, monitor driver performance, and monitor the state of the vehicle.
For example a grocery store chain working with multiple distribution companies and locations within a cold transportation supply chain can ensure the effective and safe delivery of temperature critical goods to its stores by analyzing and visualizing data received from vehicles equipped with telematics hardware.
Another example can be seen below within Urbo, a Smart City solution developed using CARTO’s platform for Telefonica’s public sector clients. Here the live position of a number of different types of vehicles (public transport, postal, police, and waste vehicles) can be monitored along with additional information provided by the telematic hardware.
Alongside the cost of purchasing or leasing vehicles, fuel costs are a significant part of a fleet management budget. As mentioned already, optimizing fleet activity with data streams such as traffic, weather, & routing data can lead to significant savings. During a recent webinar with what3words, we discussed how working with last-mile logistics companies (such as DPD) to provide addressing solutions can lead to 15% gains in efficiency.
Alongside telematic hardware’s capability to monitor and influence driver behavior (reducing speed and idling time), route and network optimization can also significantly reduce fuel costs.
For example SEUR built a solution allowing them to optimize their cold transportation network reducing their average distance of 18.99 km/order to 18.23 km/order. Considering every year SEUR delivers hundreds of thousands of orders only in cold transportation, this could translate into very significant savings. For 500k orders, this improvement would mean 380k fewer kilometers, which would translate into considerable savings in terms of fuel and fleet size. The animation below, created using our Python package, CARTOframes, shows the impact of opening and closing distribution centers and the effect it has on such operational costs.
In order to protect assets, geofencing can be an effective method of ensuring that a vehicle does not leave a pre-refined virtual boundary around a particular location. Geospatial platforms can be configured with such geofences so that a fleet manager, or others within a company, can receive an alert when a vehicle enters or leaves the boundary. This can be achieved either by creating an “area of influence”, or “isoline” or with interactive drawing tools such as the one seen below wherein these areas can be modified as a business scales its operations.
Finally, the use of technology and platforms that can store and analyze location data outlined in this post can also help fleet manager’s comply with local and national regulations.
For example in the US the Electronic Logging Devices (ELD) mandate is a congressional mandate that went into effect December 2017 that requires commercial vehicle operators to record Hours of Service (HOS) electronically. In the UK, in April 2008, the Corporate Manslaughter Act was strengthened to target company directors as well as their drivers in cases of road deaths involving vehicles used on business. In both cases having a robust solution in place that can store and process location data is crucial.
These are just a few examples and best practices of how Spatial Data Science can be used within Fleet Management. As the role of a fleet manager has evolved, IoT and data analytics are now essential to the job and with location being an inherent part of the data being generated, spatial can help streamline fleet operations.
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