-Automated-Pricing-Optimization-for-Logia-Retail-Ltd

Logia Retail Ltd. (LRL) faces a challenge in optimizing product prices for their vast array of items across multiple locations. Manual pricing prediction, handled by store managers, is time-consuming and can lead to inconsistencies. The proposed solution involves developing a robust automated pricing optimization system that utilizes advanced algorithms and machine learning techniques to predict item prices accurately, ensuring competitive and fair pricing for customers.

Objectives:

• Automation: Develop a computer program that automates the pricing prediction process for each product.

• Accuracy: Implement machine learning models to accurately predict item prices based on various factors.

• Efficiency: Improve efficiency by reducing the time taken for pricing predictions.

• Consistency: Ensure consistent pricing across all stores and locations.

• Customization: Allow for customization based on regional factors, demand, and market trends.

You can find the project along with the source code here:- https://github.com/roshni-1/-Automated-Pricing-Optimization-for-Logia-Retail-Ltd