These machine learning models target to improve conversion rates and product sales
Background of the Problem
Identifying target customers, optimal channel mix, and potential product churners involve a lot of guesswork from the business team. The tool will help the business team make data-driven decisions about their marketing strategies.
Objective, Solution and How We Do It:
Our objective is to build an end-to-end Machine Learning Pipeline that can:
- Extract and store data from different sources to one data lake
- Identify high-potential target customers through predictive models
- Identify optimal channel mix per target customer through channel optimization
- Determine potential product churners through predictive models
- Provide insights to business through data visualizations
- Offer insights to business about market drivers through Explainable AI (XAI)
Tech Stack:
- Solutions: Data Engineering, Machine Learning, Explainable AI, Data Visualization
- Services: Azure Data Lake, Azure Databricks, Python, SQL