Forecast food sales using social media activity and google search data.
This project aims to help retailers make accurate inventory planning decisions for certain food products incorporating effects of social media activity, google search data to forecast sales volume. Project leverages time series and econometrics modeling techniques to compare benchmark arima model with vector autorgressive model.
VAR and ARIMA Model Description:
https://en.wikipedia.org/wiki/Vector_autoregression https://en.wikipedia.org/wiki/Autoregressive_integrated_moving_average