A methodology of measuring grouping similarity on the time series data through a data conversion process

Understanding and predicting customers demand is vital to manufacturers and distributors to avoid stock-out and to maintain an adequate inventory levels. The quickness and accuracy of forecasting is a crucial factor in managing the company. Enterprise with many service parts explores ways toward grouping in terms of time series data for the quickness of forecasting. The similarity of time series data is examined through a data conversion process. Mean absolute percentage error is applied to find this exactness on the grouped time series data.