Latent Consumer Behaviour Profiling in Omnichannel Environments: Deep Clustering Architectures for Precision Retail Segmentation

Authors

  • João Madeira Professor of Informatics, Instituto Superior Técnico (IST)

Keywords:

latent consumer behaviour profiling, omnichannel environments, deep clustering architectures, precision retail segmentation, machine learning

Abstract

Customer segmentation is the process of dividing a company's customers into groups with similarities according to different factors. In the retail industry, customer segmentation provides retailers with an enhanced ability to focus their marketing efforts to identify the most profitable customers. Retailers can tailor their marketing programs to the needs of the most profitable market segments.

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Published

30-06-2025

How to Cite

[1]
“Latent Consumer Behaviour Profiling in Omnichannel Environments: Deep Clustering Architectures for Precision Retail Segmentation”, Blockchain Tech. & Distributed Sys., vol. 5, no. 1, pp. 1–12, Jun. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/853