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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17292280
Primary Topic
Gender, Feminism, and Media
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Gender, Feminism, and Media
article

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

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Hyderabad (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Gender, Feminism, and Media
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