Dr Eric Hanson has joined US vehicle logistics provider Acertus as its lead data scientist. He will be working on predictive and prescriptive analytics to improve the finished vehicle services the company provides for customers, transport providers and drivers.
Hanson moves from his role as data scientist at Brownells, which supplies firearms parts and accessories. Hanson has also worked in recruitment and education.
His responsibilities at Acertus will include mining and analysing data to create process, product and pricing optimisations, as well as designing and developing machine learning and predicative AI algorithms for automating processes.
Blair Koch, chief digital officer at Acertus, said Hanson’s background in maths and data science, and his experience in data applications and coding, would provide the company with a data-driven approach to product optimisation. “Eric will not only add a new level of expertise to this growing practice but will also ensure we take a data-driven approach to product optimisation,” said Koch.
Hanson added: “The breadth of data at Acertus has immense potential to generate efficiencies throughout the finished vehicle supply chain. Our goal is to unlock this potential through data science and make data a core driver of operations to optimise and enhance the Acertus experience. I look forward to building and leading a team of data scientists to support the organisation in this effort.”
Carmakers are working with logistics service providers and technology partners to tackle the problems currently facing the outbound supply chain at a time when vehicle production in the US is struggling to keep up with demand because of parts shortages. OEMs are collaborating with outbound logistics providers and looking for better visibility, digitalisation, data and collaboration, something that was under discussion at the recent Finished Vehicle Logistics North America conference, which included input from Acertus’ CEO, Trent Broberg.
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