A growing requirement of marketing surveillance activities is the capacity to quickly and accurately determine whether the extra-demand is occurring. The use of centralized data recording and databases generates large quantities of data, with consequent limitations on human resources to search and analyze these data for clustering. Automated processes to evaluate clusters in time (temporal clustering) are needed to enhance the efficiency of surveillance. Detection of temporal clustering by the use of the Scan test offers some advance towards rapid detection of extra-demand, and both spreadsheet methods, and internet-based methods have been made available.