Demand-Forecasting
- 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
- Task
- Relevant store using the following time series and machine learning techniques
- 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