Starbucks Retail Demand Forecasting
proposed a transformer-based model to predict starbucks retail demand.
Designed an Transformer-based model(called ECAN) to predict the retail demand of Starbucks coffee shops. Responsible for training process, pre-processing historical transaction data from Starbucks and transforming preprocessed data into Pytorch Dataset. The prediction solution has been patented(Publication Number: CN116911907A).
