Shipment-Price-Prediction

Shipment price predictive forecasting uses statistical techniques and machine learning to predict future prices based on historical data. It assists in understanding past trends, enhancing decision-making for cash flow, risk assessment, capacity planning, and meeting customer demands in the supply chain.

Problem Statement:
To provide a methodological approach to analyze the ongoing trends and predicting the future price of shipment packages based on various factors which affect the pricing. This prediction is to be done using the machine learning models.

This project for now is under progress, here the first part of project i.e. architecture design is completed and we are working on data preprocessing and machine learning practices.