YData for Retail / E-Commerce
Retail and e-commerce were one of the first industries where AI/ML was used in a big way - Walmart, Amazon, eBay - all use some sort of clustering algorithms to decide what products to show on your home page. Now, it goes much more beyond clustering: AI is present nearly in every action you take.
Read moreRetaining 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.
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.
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.
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YData, the Lisbon-based startup that created the first data preparation platform to accelerate the development of AI solutions.
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Doing this early for your next project will save you weeks of effort and stress
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Introducing YData Quality: An open-source package for comprehensive Data Quality
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