1. Sriya-AI techniques can help e-commerce businesses identify characteristics and behaviors of customers who are likely to make a purchase.
  2. The dataset has 1419158 records with 1 Categorical Features and 118 Numerical Features.
  3. Models were created with algorithms using Auto-ML techniques like Recurrent Neural Network, Multilayer Perceptron, Random forest, and XGBoost.
  4. Sriya-AI algorithms were able to predict whether a user is a buyer or not with an average accuracy between 98% - 100%.