If Covid-19 has taught us anything, it is that visibility, maintenance and adaptability within the supply chain is key when it comes to evolving to change. Companies should strive to achieve operational excellence, as it allows them to operate efficiently and minimise their costs. For the logistics industry, the consistent and reliable maintenance of all fleets is imperative if they are to achieve operational excellence. The logistics industry is undeniably an important sector for the Australian economy and has been estimated to have an annual revenue of AUD $102.87 billion as reported by the Australian Industry and Skills Committee in 2018. As the logistics industry services a wide variety of other sectors, efficient and effective operational processes is not a choice.
New and upcoming technology such as IoT can increase the efficiency and processes of the logistics industry. The focus for all logistics companies should be on the automatisation and digitalisation of their fleet management to reduce costs associated with human error and mismanaged fleet. Fleet reliability is synonymous for efficient fleet operations and can assist with achieving operational excellence. As explained by Automotive Fleet in 2017, a well-maintained fleet can reduce a vehicle’s fuel costs by as much as 40%. In fact, a study conducted by Entrepreneur in 201 found that out of their surveyed businesses, 66% stated that fuel costs could be reduced. This demonstrates how a large number of logistics companies are struggling with effectively managing their fleets, leading to significant revenue being lost. The implementation of IoT enhanced fleet management solutions can make fleet management easier, allowing companies to save unnecessary money and time.
Preventative maintenance rather than reactive maintenance is a major solution that can transform the operational processes of the logistics industry. The ability to receive vehicle servicing alerts can ensure that maintenance and general servicing requirements are not missed. The implementation of digital fleet management solutions like Adapt Ideations DRIVE can assist the logistics industry in maintaining continual management of their vehicles. By monitoring and taking necessary measures before the occurrences of major issues happens, the logistics industry can save a lot of money that can be reinvested into other areas of the business. Automotive Fleet further reports that unsuitable driving behaviour is another major reason for high vehicle costs. Speeding, harsh breaking and rapid acceleration causes a 15-30% decrease in the usage of gas or petrol used for each vehicle, which decreases the efficiency of refuelling. The inability to consistently monitor driver behaviour can mean that this issue occurs for a long time, before any intervention happens. Managing vehicles also includes the management of driver safety which in turns assures the viability of valuable assets that are on board.
Adapt Ideations digital fleet management solution DRIVE can assist the logistics industry to reduce costs and enhance their operational efficiency. The near real-time data gathered from DRIVE, enables the logistics industry to consistently monitor and track the location, distance and engine time of all their fleets. The fleet management solution is also fitted with accelerator sensors that detects when violations occur. The deviations are met with near real-time alerts which enables businesses to take necessary action. With anti-theft & vehicle servicing alerts, fleet management is made easy. Efficiency is key in achieving operational excellence, which is why all the data is easily accessible on our platform. By being able to set parameters, logistics companies can reduce the challenges associated with inefficient vehicle management. Consistent and reliable monitoring of fleet activity is key for achieving operational excellence for the logistics industry.
Get in touch with us today at enquiries@adaptideations.com to find out how you can optimise your fleet management.
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by Alcott Global on Supplify's Supply Chain Tech Map 2.0
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