I am new to Analytics and Data Science. This is the first case assignment I am working on.
Can someone please suggest the suitable techniques for solving this usecase?
Below is problem description and a glimpse of the variables in the datasets.
My client is a leading global home appliance manufacturer. They are interested to develop a system that can forecast market demand of certain products.
We have access to the below two data sets:
- Demand data.csv: Weekly shipment information of 13 home appliance products in US.
- Economic factors.csv: Monthly data of key economic factors which might be relevant.
Develop an algorithm(s) to forecast the Industry Shipment Demand at Quarterly and Yearly levels.
Demand Data: Year, Quarter, Week, Product, Shipment, Units
Economic factors: Date, GDP ($ Billions), Federal Interest rate, Electricity Charges (US Average),
Employment to Population Ratio (US: Age Group 25-54), Unemployment Rate, Population Growth, Temperature (US Average), Precipitation,
Transportation Services Index, Consumer Price Index, Consumer Price Index (Housing), S&P House price index