- Business Problem
A chain of stores, 10 different stores and 50 different requests a 3-month demand forecast for its product.
- Dataset Story
This dataset is presented to test different time series techniques.
Information of 10 different stores and 50 different products in 5-year data of a chain of stores is located.
- Variables
▪ date – Date of sales data
~No holiday effects or store closures
▪ Store – Store ID
~Unique number for each store.
▪ Item - Item ID
Unique number for each product.
▪ Sales – Number of products sold,
~The number of products sold from a particular store on a given date
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Task
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Relevant store using the following time series and machine learning techniques
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Create a 3-month demand forecasting model for the chain.
▪ Random Noise
▪ Lag/Shifted Features
▪ Rolling Mean Features
▪ Exponentially Weighted Mean Features
▪ Custom Cost Function (SMAPE)
▪ Model Validation with LightGBM