Artificial Intelligence In Strengthening The Operations Of Ecommerce Based Business

Desai, Pranav; Ganatra, Krutrth

doi:10.1109/irtm54583.2022.9791598

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…These technologies enable the analysis of vast datasets to identify patterns and predict consumer behavior. ML algorithms adjust their outputs based on the data they process, making them ideal for dynamic environments like online marketplaces [5]. Deep Learning, a subset of ML, utilizes neural networks to analyze complex data structures, enhancing the accuracy of predictions and recommendations in advertising.…”

Section: Fundamentals Of Ai In Ecommerce Advertisingmentioning

confidence: 99%

AI-Driven Personalization in eCommerce Advertising

Singh

2023

IJRASET

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In the dynamic realm of eCommerce, the integration of Artificial Intelligence (AI) has revolutionized advertising strategies, forging a path towards highly personalized consumer experiences. This exploration delves into the multifaceted role of AI in eCommerce advertising, highlighting the efficacy of technologies such as machine learning, natural language processing, and predictive analytics. A thorough analysis of consumer behavior, underpinned by AI, reveals advancements in data collection, privacy concerns, and innovative data analysis techniques. Ethical considerations, including data privacy and bias in AI algorithms, emerge as pivotal in maintaining consumer trust. The paper presents an array of case studies, illustrating the successful application of AI across diverse industries.

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Section: Fundamentals Of Ai In Ecommerce Advertisingmentioning

confidence: 99%

AI-Driven Personalization in eCommerce Advertising

Singh

2023

IJRASET

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“…Accordingly, big data analytics in e-commerce is considered to be of revolutionary significance to businesses and is currently an area of significant research interest. However, it remains underdeveloped as a concept that impedes theoretical and practical advances in the field [18,19]. This study presents a big e-commerce data platform to address the many challenges in big e-commerce data.…”

Section: Introductionmentioning

confidence: 99%

An Electronic Commerce Big Data Analytics Architecture and Platform

Munshi,

Alhindi,

Qadah

et al. 2023

Applied Sciences

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The COVID-19 pandemic significantly increased e-commerce growth, adding more than 218 billion US dollars to the United States e-commerce sales. With this significant growth, various operational challenges have appeared, including logistic difficulties and customer satisfaction. Businesses that strive to take advantage of increased e-commerce growth must understand data and rely on e-commerce analytics. The large scale of e-commerce data requires sophisticated information technology techniques and cyber-infrastructure to leverage and analyze. This study presents a big e-commerce data platform to address several challenges in e-commerce. The presented platform’s design is based on a distributed system architecture that supports e-commerce analytics applications using historical and real-time data and features a continuous feedback loop to observe the decision-making and evaluation processes to achieve the desired objectives. The platform was validated using two analytical applications. The first application was to identify the periods in which customers prefer to place orders, while the second was used to verify the big e-commerce data platform. The resulting insights and findings promote informed e-commerce decisions. Furthermore, viewing and acting on insight results and findings promote informed decisions that potentially benefit the e-commerce industry. The proposed platform can perform numerous e-commerce applications that potentially benefit the e-commerce industry.

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Artificial Intelligence (AI) Empowerment in E-Commerce: A Bibliometric Voyage

Chugh,

Jain

2024

NMIMS Management Review

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This article presents a conceptual overview of artificial intelligence (AI) research in the realm of E-commerce. Potential research themes, explored through content analysis and visualization techniques, offer a deeper understanding of the knowledge landscape in this field. The study utilized R Studio and VOS viewer to analyze the performance and map the scientific output of 1,458 research articles from the Scopus database (1995–2024). The study examines the conceptual structure of data through clustering themes and network analysis. The findings indicate a significant focus on advanced E-commerce analytics within AI research, with key areas including product recommendations and AI-driven customer support. The research spans diverse fields such as computer science, marketing, and psychology, emphasizing AI’s interdisciplinary applications in E-commerce. The research’s novelty lies in providing TCCM-based insights for future research and guidance for practitioners looking to leverage AI in their E-commerce operations.

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Artificial Intelligence In Strengthening The Operations Of Ecommerce Based Business

Cited by 3 publications

References 1 publication

AI-Driven Personalization in eCommerce Advertising

AI-Driven Personalization in eCommerce Advertising

An Electronic Commerce Big Data Analytics Architecture and Platform

Artificial Intelligence (AI) Empowerment in E-Commerce: A Bibliometric Voyage

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