A call-transaction forecasting tool taking the form of a computer-implemented method and medium in some embodiments is provided for retrieving, aggregating, sorting, and determining one or more maximum transactions within a communications network. The tool automates the process of manually extracting and analyzing call transactions pertaining to call-duration, call volume, traffic usage, bandwidth usage, processing usage and memory usage in order to properly forecast and predict future network growth and capacity within a providers network. The computer-implemented method includes retrieving transaction data files from a switch or server, merging the files in a commonly shared data structure, identifying one or more maximum transaction counts based upon an associated period of time, and displaying the maximum counts and associated period of time.