Cloud Technologies in Retail Marketing: A Technical Overview

Cloud technologies have revolutionized retail marketing, enabling sophisticated customer segmentation, personalized experiences, and omnichannel integration. This article explores the technical foundations of cloud-powered retail systems, from advanced data collection infrastructure to dynamic recommendation engines. The discussion examines how API-first architectures facilitate seamless cross-channel experiences while addressing the inherent challenges of data synchronization and identity resolution. With privacy concerns mounting, retailers now implement innovative measurement techniques while leveraging sophisticated analytics frameworks to quantify marketing impact. Cloud computing enhances ROI modeling by enabling predictive capabilities that were previously unattainable. Throughout this technical examination, the focus remains on architectural considerations, implementation strategies, and the tangible business outcomes achieved through cloud adoption in retail marketing.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n165972
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Cloud Technologies in Retail Marketing: A Technical Overview

Prasenjeet Mahadev Madare
European Journal of Computer Science and Information Technology
Big Data and Business Intelligence
article

Cloud Technologies in Retail Marketing: A Technical Overview

Prasenjeet Mahadev Madare
article en

Abstract

Cloud technologies have revolutionized retail marketing, enabling sophisticated customer segmentation, personalized experiences, and omnichannel integration. This article explores the technical foundations of cloud-powered retail systems, from advanced data collection infrastructure to dynamic recommendation engines. The discussion examines how API-first architectures facilitate seamless cross-channel experiences while addressing the inherent challenges of data synchronization and identity resolution. With privacy concerns mounting, retailers now implement innovative measurement techniques while leveraging sophisticated analytics frameworks to quantify marketing impact. Cloud computing enhances ROI modeling by enabling predictive capabilities that were previously unattainable. Throughout this technical examination, the focus remains on architectural considerations, implementation strategies, and the tangible business outcomes achieved through cloud adoption in retail marketing.

European Journal of Computer Science and Information TechnologyVol. 13(16)
Openalex Percentile: Top 84%
Big Data and Business Intelligence
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