YData for Retail/E-commerce

Data-Centric AI for Retail

From customer chunr to recommendation systems, YData Fabric provides Retail innovation leaders with a complete workbench for data-centric AI applications development accelerated by synthetic data and data profiling.

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.

ydata retail use case

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.

ydata retail use case

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.

ydata retail use case

Join AI innovation with the right data

Become the best in class by delivering faster and better AI solutions with improved data.

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