YempatiKarthik / JOB-A-THON---September-2021-Hackathon-

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JOB-A-THON September-2021-Hackathon

Supplement Sales Prediction

Your Client WOMart is a leading nutrition and supplement retail chain that offers a comprehensive range of products for all your wellness and fitness needs.

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

Sample_Submission

Variable Definition

ID - Unique Identifier for a row

Sales - Total Sale for the Store on the given Day

Evaluation

The evaluation metric for this competition is MSLE * 1000 across all entries in the test set.

Public and Private Split

Test data is further divided into Public (First 20 Days) and Private (Last 41 Days). You will make the prediction for two months (61 days).

• Your initial responses will be checked and scored on the Public data.

• The final rankings would be based on your private score which will be published once the competition is over.

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