CASE STUDY

RETAIL INDUSTRY

  1. Sriya-AI techniques were applied to predict order cancellations and completion in a retail business.
  2. A dataset with 201,134 records and 24 categorical and 12 numerical features was used.
  3. Classification models were created using algorithms like Decision Tree, Random forest, XGBoost, Multilayer Perceptron, and Recurrent Neural Network.
  4. The Sriya-AI algorithms predicted order cancellations and completion with an average accuracy between 90%-100%