As a data scientist, your task is to develop a machine learning model that predicts consumer purchasing behavior based on historical sales data. Outline the process from data cleaning to model selection and training, including considerations for feature engineering and evaluation metrics. Your solution should be robust enough to handle large datasets and provide actionable insights for a retail business. Include code snippets in Python for critical steps and a summary of potential challenges and solutions.
