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    AI-Driven Logistics Planning

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    2022 Summer, 1821890, AI-Driven Logistics Planning.pdf (7.832Mb)
    Date
    2022-09-14
    Author
    Ahmed Shawon, Kazi Tokir
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    Abstract
    The purpose of this report is to accumulate the details of my experience while working with the “AI-driven logistics planning” project at GETCO IT Services Limited. My work assignment included developing an automated system that supports AI-Driven intelligent mapping such logistics can provide ultimate cost resource savings, increasing the profitability and success of the business. The tasks that I attended to this project pipeline consisted of designing and developing the core engine for the logistic planning/ route mapping functionality of the platform which will produce automatic route maps for the best possible route based on several criteria and business logic to be implemented by the customer. Through all these experiences, I gained knowledge on how to develop and deploy Intelligent determination of the best route system in a product-oriented business where logistics plays a vital role in business success. GETCO IT Services Limited provides cloud consulting, auditing, and advisory services focusing on implementing new ways of using the cloud to make systems highly scalable, available, and efficient. It can help and achieve companies transform their business using cloud technology on AWS. Therefore, this experience was challenging yet crucial as well, to help me elevate my skills and confidence for me to be ready to pursue my career in this line of work. The report mainly has been documented solely based on my overall learning and experiences. The project will deliver performance after handling future scope in “AI-driven logistics planning” that will remove obstacle routes from the route list by determining the best possible inventory cost and distance route using satellite information. The whole idea of building this system with the latest routing technology will be to implement a highly scalable system.
    URI
    https://ar.iub.edu.bd/handle/11348/808
    Collections
    • Summer 2022 [52]
    Publisher:
    Independent University, Bangladesh
    Type:
    Technical Report
    Keywords:
    Logistics, B2B e-commerce, AWS, Route Planner, Intelligent Routing, Supply chain

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