IshtyM/Shipping-Pricing-Prediction
Predicting the supply chain shipment pricing based on the available factors in the dataset using the classical machine learning algorithms.
This project helps logistics and supply chain managers forecast shipment costs. By inputting historical shipping data, including factors like origin, destination, and product details, it generates predictions of future shipping prices. The output helps in budgeting, optimizing routes, and making informed decisions to reduce expenses and improve service.
No commits in the last 6 months.
Use this if you are a logistics professional or supply chain analyst who needs to accurately predict shipping costs to manage budgets and optimize operations.
Not ideal if you need real-time, dynamic pricing adjustments or advanced supply chain optimization beyond price prediction.
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Last pushed
Sep 17, 2021
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