adidas sales analysis and prediction

Problem Statement:

Adidas, as one of the leading sportswear companies, generates huge sales volumes across different regions and

product categories. However, predicting future sales accurately is challenging due to the influence of multiple

factors such as sales methods, operating margins, and product types.

Adidas Sales Prediction using Machine Learning

Goal:

Build a reliable machine learning model that predicts Adidas product sales and identifies the most effective

regression algorithm for business forecasting.

Dataset Description:

Source: Adidas Sales Dataset (CSV file)

Nature: This is a regression dataset containing sales transactions, including attributes such as retailer, region,

sales method, units sold, total sales, operating margin, and more.

Why This Project Matters:

Accurate sales prediction helps businesses optimize inventory management, improve revenue forecasting, and

make data-driven strategic decisions. By applying machine learning, companies can reduce uncertainty and

enhance planning efficiency