Planogram Optimisation and Cross-Category Affinity Intelligence: AI-Enhanced Analytical Frameworks for Retail Merchandising Strategy

Authors

  • Anna Westin Associate Professor of Information Technology, Umeå University

Keywords:

planogram optimisation, cross-category affinity intelligence, ai-enhanced analytical frameworks, retail merchandising strategy, machine learning

Abstract

There has been much written recently about the importance of artificial intelligence (AI) to the retail industry, and we are now beginning to see the proliferation of truly AI-enhanced merchandising strategies. These strategies are designed to offer a more contextually aware, analytics-based approach to traditional merchandising retail strategies. Yet, surprisingly little has been written about the foundational principles of this emerging field.

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Published

30-06-2025

How to Cite

[1]
“Planogram Optimisation and Cross-Category Affinity Intelligence: AI-Enhanced Analytical Frameworks for Retail Merchandising Strategy”, Human-Computer Interaction Persp., vol. 5, no. 1, pp. 38–45, Jun. 2025, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/808