Potential Customer Segmentation Analysis

In this project, we hope to gain insight into customer segments and patterns by analyzing market data on buying behaviors. This will help us enhance and refocus our marketing efforts by being able to identify the needs of each segment, reach them most effectively, and address any pain points they face. Students will research customer’s behavior through sales trends of various companies, analyze the data, create predictive models, and provide recommendations for how to move forward. This will involve several different steps for the students, including: Analyzing market data to define different segments based on customer needs. Choosing appropriate metrics to examine the data, and analyzing it using data analysis software to identify trends and correlations. Creating predictive models for various outcomes the market may face. Creating a report with all findings from analysis conducted, including recommendations for next steps.

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.