Retail Cloud AI Strategies: Balancing Cost, Speed, and Customer Satisfaction in a Digital Landscape

In the rapidly evolving digital economy, the retail sector is leveraging Cloud and Artificial Intelligence (AI) technologies to optimize operations, reduce costs, enhance speed, and improve customer satisfaction.This paper explores strategic frameworks for implementing AI-driven cloud solutions tailored to retail businesses.It provides a comparative analysis of different cloud-AI strategies focusing on their impact on operational efficiency, customer experience, and scalability.The paper also presents real-world use cases, architectural designs, and decision-making frameworks, helping retailers to strike the right balance among cost, speed, and customer satisfaction.A thorough literature review contextualizes the research within current and prior technological developments up to 2023.Graphical models, infographics, and charts further illustrate core ideas, facilitating practical understanding and implementation.

Authors

Publication Details

Journal
ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTING
Published
2024-09-08
DOI
https://doi.org/10.63397/iscsitr-ijcc_2024_05_02_003
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Retail Cloud AI Strategies: Balancing Cost, Speed, and Customer Satisfaction in a Digital Landscape

Venkata Nagendra Kumar Kundavaram
ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTING
Impact of AI and Big Data on Business and Society
article

Retail Cloud AI Strategies: Balancing Cost, Speed, and Customer Satisfaction in a Digital Landscape

Venkata Nagendra Kumar Kundavaram
article en

Abstract

In the rapidly evolving digital economy, the retail sector is leveraging Cloud and Artificial Intelligence (AI) technologies to optimize operations, reduce costs, enhance speed, and improve customer satisfaction.This paper explores strategic frameworks for implementing AI-driven cloud solutions tailored to retail businesses.It provides a comparative analysis of different cloud-AI strategies focusing on their impact on operational efficiency, customer experience, and scalability.The paper also presents real-world use cases, architectural designs, and decision-making frameworks, helping retailers to strike the right balance among cost, speed, and customer satisfaction.A thorough literature review contextualizes the research within current and prior technological developments up to 2023.Graphical models, infographics, and charts further illustrate core ideas, facilitating practical understanding and implementation.

ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTINGVol. 5(2)
Openalex Percentile: Top 63%
Impact of AI and Big Data on Business and Society
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