Skip to content

Benefits of Vehicle Routing Optimization

Vehicle Routing Optimization, which is the process of determining the most cost-efficient route, is a solution for so-called vehicle routing problems (VRPs). Vehicle Routing Optimization is not just finding the shortest path between two points. The Vehicle Routing Optimization process must account for all relevant factors involved such as vehicle limitations, cost controls, time windows, resource limitations, etc. Join our interactive webinar to learn how state-of-the-art optimization solvers serve as a part of a Vehicle Routing Optimization solution to provide the end customer with a range of services that eventually contribute to enhancing the overall customer experience.

In this webinar, we will talk about:

  • Vehicle routing challenges
  • Key features of Vehicle Routing Optimization solutions and their benefits
  • Machine Learning++ and its advantages
  • Required technologies to build efficient Vehicle Routing Optimization solutions
  • How Cresco International can help you



Those are just some of the highlights, and Meysam Cheramin, Operations Research Specialist of Cresco International, and Sanjeev Datta, CEO of Cresco International, will go into much more detail in the webinar. Whether you are an expert in the field of optimization and data science or you do not know anything about them, you are guaranteed to learn new ways to solve your vehicle routing problems. We hope to see you there!


Register Here



Oct 12 2022


Central Time (UTC-06:00)
11:00 am - 12:00 pm


Cresco International


Cresco International

Other Organizers


  • Meysam Cheramin
    Meysam Cheramin
    Operations Research Specialist

    Meysam is an operations research specialist with 7 years
    of experience in optimization, simulation, and data
    analytics. He has been providing consulting services that
    leverage operations research techniques based on the
    idea that all solutions should focus on return on
    investment, profit margin improvements, and new
    revenue opportunities. He is keen on solving business
    problems using a hybrid approach of analytics, modeling,
    and process improvement.

    Meysam has built many optimization applications for
    various supply chain, healthcare, energy, and financial
    problems. Developing resilient supply chain networks for
    recycling permanent magnets, developing an operating
    room scheduling application for hospitals, developing a
    workforce scheduling application for call centers, and
    developing trade promotion and pricing optimization
    applications for retailers are some of his past project
    experiences. Meysam’s technical toolbox includes Python,
    C++, C, CPLEX, Gurobi, FICO Xpress, GAMS, AMPL, CVX, R,

    Meysam holds B.S. and M.S. degrees in Industrial
    Engineering from the Kharazmi University and Sharif
    University of Technology (Tehran, Iran). He has a Ph.D. in
    Systems and Industrial Engineering from the University
    of Arizona. He is the author of several academic papers on
    optimization under uncertainty, supply chain
    optimization, and healthcare scheduling.

    Furthermore, he presented his work at several
    international conferences including the Institute for
    Operations Research and Management Sciences
    (INFORMS) and the Institute of Industrial and Systems
    Engineers (IISE). He also has a few years of experience in
    teaching optimization, simulation, and statistics at the
    university level.

  • Sanjeev Datta
    Sanjeev Datta

    Sanjeev has spent the last two decades consulting companies in technology and strategy around analytics and enterprise architecture. He has helped companies with data strategy, data governance, analytics & Data Science. He has led teams to deliver excellence for clients from strategy to implementation. His career began as a consultant working closely with technology which has allowed him to understand clients’ needs and the importance of generating ROI for continued business and partnerships.

Please enter you email to view this content.