The omni-channel consumer segmentation method based on consumption data stream mining

In view of the high-dimensional data stream characteristics of Omni-Channel consumer behavior, the synopsis generation algorithm of the Omni-Channel consumer segmentation was created based on the Omni-Channel customer value. The evolutionary data stream clustering algorithm of Omni-Channel consumer segmentation was proposed based on time attenuation model and sliding window model, which deal with the high-speed flow data. The hierarchical processing framework of evolutionary data stream clustering algorithm can make quick and accurate decisions for the Omni-Channel consumer segmentation. The experiment results show that the algorithm improves the temporal and spatial efficiency, and can cluster independently, which provides decision support for the Omni-Channel retail enterprises to better develop and implement multi-channel marketing strategy.