Retail price prediction Model

[vedhcet-07]

Overview

This pull request adds a machine learning model for Retail Price Optimization. The model predicts optimal selling prices for products based on key features like cost price, historical sales, competitor prices, product ratings, and stock levels.

Description

This pull request introduces a machine learning model for Retail Price Optimization, designed to predict optimal selling prices for products based on various influential features such as cost price, historical sales data, competitor pricing, product ratings, and stock availability. By leveraging the RandomForestRegressor algorithm, the model provides retailers with dynamic pricing capabilities to maximize revenue while maintaining competitive advantages. The included dataset comprises over 200 products, facilitating both training and testing of the model. This solution not only automates price adjustments but also enhances decision-making in retail pricing strategies, ultimately driving improved sales performance and profitability.

Importance

This model allows retailers to dynamically adjust prices in real-time, maximizing revenue while maintaining competitive pricing strategies. It can significantly impact sales and profitability by automating the decision-making process for price setting.

Graphs

Type of change

• ✅ Added a new machine learning frameworks, libraries or software.
• ✅ Documentation update

Checklist:

• ✅ My code follows the style guidelines of this project
• ✅ I have performed a self-review of my own code
• ✅ I have commented my code, particularly in hard-to-understand areas
• ✅ I have made corresponding changes to the documentation
• ✅ My changes generate no new warnings

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

[vedhcet-07]

@sanjay-kv Thank you sir for approving the PR .Please let me know if anything . If everything is ok, you can merge it sir