JOURNAL ARTICLE

Optimizing E-commerce Operational Efficiency and Customer Experience Through Data Analytics and Technological Innovation

Pinyi Liu

Year: 2024 Journal:   Advances in Economics Management and Political Sciences Vol: 100 (1)Pages: 14-19

Abstract

With an emphasis on the e-commerce industry specifically, this paper examines the revolutionary role that data analytics and technological innovation play in enhancing the customer experience and streamlining e-commerce operations. It explores the ways in which cutting-edge technologies, including big data, augmented reality, virtual reality, and artificial intelligence, can be leveraged to precisely understand consumer preferences in order to provide engaging, effective, and personalized shopping experiences. The study emphasizes how these technologies are revolutionizing front-end consumer interactions with personalized product recommendations, immersive shopping experiences, and instant customer service, while also improving back-end operations like inventory management and supply chain optimization. Using Chewy.com as an example, this paper explores technology applied in virtual and augmented reality and artificial intelligence in pet e-commerce and demonstrates how their integration with technology indicates great benefits toward consumer needs, business growth, and competitive leverage within the dynamism of e-commerce. The aim of this paper is to aid e-commerce practitioners in capturing the most out of data and technology for business models, customer satisfaction, and market positioning in an ever-increasing digital market.

Keywords:
Leverage (statistics) Augmented reality Big data Analytics Competitive advantage Business intelligence Fast fashion Dynamism Business Customer satisfaction Marketing Computer science Knowledge management Data science

Metrics

2
Cited By
1.89
FWCI (Field Weighted Citation Impact)
0
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems
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