The client, a leading North American frozen food company manufactures several frozen food products and potato specialties across the world.
Tenzai developed a custom ML based forecasting solution for the client by implementing our Purpose-Driven AI approach.
Internal data from enterprise data systems as well external data were utilized for the developing the model.
External data considered included seasonality trends, holidays, retailer and store data, weather and macroeconomic indicators.
The analytical DataMart was built on AWS Redshift and the machine learning environment was created on AWS EC2.
The forecasting model was an ensemble of multiple algorithms like Random Forest, LSTM and FB Kats. The model performance was measured using metrics like MAPE and model accuracy was tracked across various granularities.
The forecasting model was made accessible to the business through an intuitive dashboard. It helped business users to analyze the forecasts across multiple regions, stores, categories and SKUs and make informed decisions.