Our client produces more than 500 different products (medicines) that are sold all over the world. To optimise their production process, they need to better forecast their sales volumes for the coming months up to a year.
Forecasting is not easy, as the sales volumes are different for each product and different parameters influence the growth for each product, such as seasonality trends, the weather, historical growth, etc. Our client asked us to develop a prediction model for each product and build a tool with which they could analyse and optimise the forecasted volumes in an efficient way.