We are excited to announce our latest acquisition. Vita Software, a leading provider of SaaS based Transportation Management System (TMS) solutions, has today joined the Microlise Group. Highly regarded across …
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Our 22.2 product release expands on our existing Planning & Optimisation product adding a number of new features to support efficient and optimised planning for EVs to support the growing move to electric…
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A $250 million expansion to the ‘Future Fuels Fund’ was announced recently, which forms part of the Government’s strategy to reduce emissions in the transport sector…
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Starting the year as we mean to go on with solution refinements to support more agile and efficient operations in our 22.1 Product Release…
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With fleet operators across the country working harder than ever to manage their resources during one of the busiest periods of the year, our latest product release supports more efficient site visits and reduces admin time when planning…
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New mental health management training and self help tools available for drivers launch during what has to be one of the busiest and most stressful times of the year…
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Our latest release supports a smoother and cleaner electronic payment process for drivers and customers alike and provides improved planning and scheduling flexibility to handle real-world weekly shifts, including breaks, overnight rest stops, drivers hours’ compliance and differing time zones if required…
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Our latest product release is providing operators with the tools they need to better navigate the peak period ahead and make journeys easier for their core team of drivers and for subcontractors alike…
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Connecting your assets with a smart and scalable IIoT edge solution can deliver improved customer value and a stronger service business case…
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The Microlise Planning & Optimisation solution can provide fleet managers with the capacity to dramatically reduce the time taken to create a plan while drastically improving the quality of the output which has become more critical as we search for ever faster and more efficient delivery models…
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