SOLUTION

Recommender System: The project involved the development of a recommender system that employed collaborative filtering and association rules algorithms to provide more accurate and personalized product recommendations, leading to increased sales and customer satisfaction.
Customer Churn Prediction: A data pipeline and workflow were established for customer churn analysis. This allowed the Online Shopping Club to predict potential churn and take proactive measures to retain customers. Marketing Reports Automation: The team automated generating marketing reports, collecting relevant data, and preprocessing them using Python. This automation streamlined marketing efforts, saving time and resources.