Hyper-Personalization in Retail: Leveraging Data Science and Real-Time Streaming

Personalization has transformed from a luxury feature to a fundamental business necessity in today's digital retail landscape. This comprehensive article explores the evolution from traditional personalization to hyper-personalization, examining the retail sector's technological components, practical applications, and future implications. The article investigates how advanced technologies, including artificial intelligence, machine learning, and real-time data streaming, enable retailers to deliver highly individualized customer experiences. Through a detailed examination of implementation strategies, benefits, and impacts, this analysis demonstrates how retailers leverage sophisticated data science frameworks and dynamic experience customization to enhance customer engagement, improve operational efficiency, and drive business growth. The article particularly highlights the transformative impact of hyper-personalization in specific retail segments, such as apparel, while also exploring the quantifiable benefits for retailers and customers.

Authors

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-12-07
DOI
https://doi.org/10.32628/cseit241061179
Citations
1
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.44
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article

Hyper-Personalization in Retail: Leveraging Data Science and Real-Time Streaming

Nitin Saksena
1 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Consumer Retail Behavior Studies
0.44
article

Hyper-Personalization in Retail: Leveraging Data Science and Real-Time Streaming

Nitin Saksena
article en
1 citations

Abstract

Personalization has transformed from a luxury feature to a fundamental business necessity in today's digital retail landscape. This comprehensive article explores the evolution from traditional personalization to hyper-personalization, examining the retail sector's technological components, practical applications, and future implications. The article investigates how advanced technologies, including artificial intelligence, machine learning, and real-time data streaming, enable retailers to deliver highly individualized customer experiences. Through a detailed examination of implementation strategies, benefits, and impacts, this analysis demonstrates how retailers leverage sophisticated data science frameworks and dynamic experience customization to enhance customer engagement, improve operational efficiency, and drive business growth. The article particularly highlights the transformative impact of hyper-personalization in specific retail segments, such as apparel, while also exploring the quantifiable benefits for retailers and customers.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(6)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Consumer Retail Behavior Studies
0.44
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