Decision support systems using customer clustering

摘要

A method for providing decision support systems using customer clustering comprises obtaining customer transaction data (e.g. internal-external customer transaction data, credit card information, customer funds ( income)), and categorising it. The categorised customer transaction data is analysed to identify patterns among the data. The identified patterns are used to isolate a selected number of behavioural factors. The customers are grouped into population segments based on the behavioural factors. Any non-linear transaction data may be analysed using a Hidden Markov method. The behavioural segments may be visually presented in a graph (Fig. 3). The decision support system may be used to provide more directed and accurate offers to customers thus improving the customer experience.