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

Pinyi Liu
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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.
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通过数据分析和技术创新优化电子商务运营效率和客户体验
本文以电子商务行业为重点,探讨了数据分析和技术创新在提升客户体验和简化电子商务运营方面发挥的革命性作用。它探讨了如何利用大数据、增强现实、虚拟现实和人工智能等尖端技术来准确了解消费者的偏好,从而提供吸引人、有效和个性化的购物体验。研究强调了这些技术如何通过个性化产品推荐、沉浸式购物体验和即时客户服务彻底改变前端消费者互动,同时改善库存管理和供应链优化等后端运营。本文以 Chewy.com 为例,探讨了虚拟现实、增强现实和人工智能技术在宠物电子商务中的应用,并展示了它们与技术的整合如何在电子商务的活力中为消费者需求、业务增长和竞争优势带来巨大好处。本文旨在帮助电子商务从业者在不断发展的数字市场中,最大限度地利用数据和技术来实现商业模式、客户满意度和市场定位。
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