Use cases for the Retail / E-commerce
Improved customer churn
Make more money from existing users instead of losing them
Retaining customers is a big challenge for companies, so predicting and reducing the churn rate by targeted offers is a common strategy. YData helps to balance, clean, and filter the data, and create processing pipelines to compare and tune different ML model hyperparameters.
Improved recommendation systems
Up-sell and cross-sell
Recommendation systems use advanced clustering algorithms which need a lot of data from every user profile. A good recommendation system requires the models to be fine-tuned properly, in addition to good data preprocessing, cleaning and synthesis, if required.
Predictive sales
Manage your resources according to your needs
Predicting when customers are most likely to buy your product can boost your business multifold. Resource management and stock optimization can be done effectively by predicting the buyer sentiment for that period. YData adds to this capability by helping with data cleaning, preprocessing, synthesis, and pipeline setup for your product lines.
