AI-driven personalization in consumer goods and retail: A technical analysis
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2025
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| _version_ | 1866902058154590208 |
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| author | Maddala, Suresh Kumar |
| author_facet | Maddala, Suresh Kumar |
| contents | <p>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. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17292280 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-driven personalization in consumer goods and retail: A technical analysis Maddala, Suresh Kumar Personalization Recommendation Systems Dynamic Pricing Conversational AI Augmented Reality <p>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. </p> |
| title | AI-driven personalization in consumer goods and retail: A technical analysis |
| topic | Personalization Recommendation Systems Dynamic Pricing Conversational AI Augmented Reality |
| url | https://doi.org/10.5281/zenodo.17292280 |