I see most of the discussion around Smart Fleets pivoted around better management of transportation assets and associated labor.
While that is cetainly a significant aspect, another aspect I see is that data from connected transportation assets can help us realize our vision of practical dynamic vehicle route optimization tools.
A key obstacle/challenge in developing dynamic routes is the ever changing operating parameters, that may make optimal routes generated one week, suboptimal the next week.
This can also take care of capturing the “expert” knowledge from drivers, by capturing the same data through various sensors on the smart trucks.
These simplified high level slides illustrate examples of data points that can be captured and how it can be seamlessly updated in a cloud based input database for dynamic vehicle route optimization.
Kumar Singh is the founder of Designed Analytics LLC, which is focused on helping organizations explore how to leverage data and analytics to effectively compete, thrive and innovate.
Kumar has over a decade of hands-on experience in supply chain and operations analytics. With over a decade of industry experience, he has worked across multiple industries, helping companies set up analytics centers of excellence.
Post his industry experience, Kumar also did a stint in external consulting as a data science consultant with Boston Consulting Group (BCG). Kumar holds an MSc. in AI from Liverpool John Moores University, a Masters in Supply Chain from The Ross School of Business at The University of Michigan, Ann Arbor, an MBA in Operations Management from IIT Roorkee, India, and an undergraduate degree in Electrical engineering.
Kumar is ASCM CPIM, CSCP, and CLTD certified and holds the PMP certification from PMI. He is also an AWS-certified Machine Learning Specialist and Microsoft certified in the Azure IoT developer specialty.
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