WOMart follows a multi-channel distribution strategy with 350+ retail stores spread across 100+ cities.
Effective forecasting for store sales gives essential insight into upcoming cash flow, meaning WOMart can more accurately plan the cashflow at the store level.
Sales data for 18 months from 365 stores of WOMart is available along with information on Store Type, Location Type for each store, Region Code for every store, Discount provided by the store on every day, Number of Orders everyday etc. Your task is to predict the store sales for each store in the test set for the next two months.
Data Dictionary
Train Data : Variable Definition
ID Unique Identifier for a row
Store_id Unique id for each Store
Store_Type Type of the Store
Location_Type Type of the location where Store is located
Region_Code Code of the Region where Store is located
Date Information about the Date
Holiday If there is holiday on the given Date, 1 : Yes, 0 :
No Discount If discount is offered by store on the given Date, Yes/ No
#Orders Number of Orders received by the Store on the given Day
Sales Total Sale for the Store on the given Day
Test Data : Variable Definition ID
Unique Identifier for a row
Store_id Unique id for each Store
Store_Type Type of the Store
Location_Type Type of the location where Store is located
Region_Code Code of the Region where Store is located
Date Information about the Date
Holiday If there is holiday on the given Date, 1 : Yes, 0 :
No Discount If discount is offered by store on the given Date, Yes/ No