prs98/Backorders_Supply_Chain_Analysis
Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whether a given order gets cancelled or goes to back order.
This project helps operations managers and supply chain analysts predict if an order will be cancelled or go to backorder. By inputting your historical order data, it provides a forecast on future orders, allowing you to proactively manage inventory and customer expectations. The primary users are those responsible for supply chain management and inventory optimization.
No commits in the last 6 months.
Use this if you need to anticipate potential backorders or cancellations to improve your supply chain planning and reduce disruptions.
Not ideal if you are looking for a real-time tracking solution for in-transit inventory rather than a predictive model for order status.
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Last pushed
Sep 07, 2022
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