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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI-driven personalization in consumer goods and retail: A technical analysis

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  • AI-driven personalization in consumer goods and retail: A technical analysis

Suresh Kumar Maddala *

University of Hyderabad, India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 458-463

Article DOI: 10.30574/wjarr.2025.26.2.1639

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1639

Received on 25 March 2025; revised on 02 May 2025; accepted on 04 May 2025

AI-driven personalization has become a critical competitive advantage in modern retail environments, enabling tailored customer experiences across digital and physical touchpoints. This article explores the transformative role of artificial intelligence technologies in reshaping consumer goods and retail personalization strategies. Beginning with an overview of fundamental AI personalization technologies, the discussion progresses through advanced recommendation engine architectures, dynamic pricing implementations, conversational AI systems, and in-store personalization solutions. The article examines how these technologies create cohesive personalized experiences that increase engagement, drive sales, and foster customer loyalty while addressing technical challenges and implementation considerations for retailers navigating the evolving digital commerce landscape. 

Personalization; Recommendation Systems; Dynamic Pricing; Conversational AI; Augmented Reality

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1639.pdf

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Suresh Kumar Maddala. AI-driven personalization in consumer goods and retail: A technical analysis. World Journal of Advanced Research and Reviews, 2025, 26(2), 458-463. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1639

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