Customer Segmentation of Online Retail
Our study focuses on making identifiable, sustainable, and practical segmentation in the market. We first identified customer groups with unsupervised learning methods and then checked the cluster sustainability with supervised learning algorithms.
In conclusion, customers of online retail stores are successfully segmented, which demonstrated clear patterns of shopping preference. In the future, our findings would be potential in developing up-selling and cross- selling strategies.
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These are not academic research, but just some case study of Fintech courses.
