Price Optimization and Recommendations Engine

This project aims to help clients achieve their growth goals by leveraging AI and associated techniques to address their business challenges.

These challenges such as increased customer churn across all segments. We aim to develop a tool and an algorithm that can predict churn based on identifying the leading indicators for churn in each segment. By doing so, we will equip our clients with tools for identifying and proactively acting to reduce churn, ultimately helping them retain customers and achieve their growth goals.

To achieve this, we will analyze the data available on the client’s platform and use AI and associated techniques to identify patterns and leading indicators for churn. We will then develop an algorithm that can predict churn in each customer segment and provide our client with tools for identifying and addressing these issues.

This will involve working closely with the client to understand their needs, providing regular updates on our progress, and ensuring that the final product meets their requirements. Through this project, we aim to gain valuable experience in using AI and associated techniques to develop solutions for real-world business problems.

Faculty Supervisor:

Tiffany Bayley

Student:

Partner:

FirePower Financial Corporation

Discipline:

Business

Sector:

Finance and Insurance

University:

The University of Western Ontario

Program: