The Global Impact of Artificial Intelligence and Machine Learning on the Efficiency of e-Commerce

Oleksandr V. Bulakh
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Abstract

Artificial intelligence and machine learning have had a significant impact on e-commerce, allowing companies to analyze large amounts of data and make managerial decisions more efficiently. These technologies improve customer experience, sales, profitability, and business processes of companies in the industry. The aim of the article is to identify the key challenges for the e-commerce business in the part of artificial intelligence and machine learning with the formation of ways to overcome them. The article examines the key areas of influence of artificial intelligence and machine learning technologies on the state of e-commerce. It is noted that e-commerce has a significant weight in today’s global economy, as the global e-commerce market is projected to reach $6.4 trillion by 2024. The article also notes the existing gap between the developed models and their practical application in the industry due to their insufficient understanding by business, high costs and potential bias in the models. It is specified that the widespread use of algorithms can lead to undesirable consequences, i. e., it is extremely important to continue to develop models and create a framework for assessing their value and advantages in practical application. It is observed that ethical considerations are crucial when using artificial intelligence in e-commerce, as advertising personalization practices can violate privacy principles and manipulate customer behavior. An analysis of potential security measures that e-commerce companies can take in response to the risks of new technologies, such as data misuse or privacy breaches, is carried out. The key role of the expert function in the effective adaptation of new technologies in the industry is emphasized. The proposed study can be used in the work of e-commerce market analysts, specialized researchers, business associations, and other industry stakeholders. Prospects for further research involve studying the economic effect of the application of the researched technologies for companies in the field of e-commerce.
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人工智能和机器学习对电子商务效率的全球影响
人工智能和机器学习对电子商务产生了重大影响,使公司能够分析大量数据并更有效地做出管理决策。这些技术改善了行业内公司的客户体验、销售、盈利能力和业务流程。本文的目的是确定电子商务业务在人工智能和机器学习方面面临的主要挑战,并形成克服这些挑战的方法。本文考察了人工智能和机器学习技术对电子商务状态影响的关键领域。值得注意的是,电子商务在当今全球经济中占有重要地位,到2024年,全球电子商务市场预计将达到6.4万亿美元。文章还指出,由于商业对模型的理解不足,成本高,模型存在潜在的偏差,开发的模型与行业实际应用之间存在差距。特别指出,算法的广泛使用可能导致不良后果,即,继续开发模型并创建一个框架来评估其在实际应用中的价值和优势是极其重要的。可以观察到,在电子商务中使用人工智能时,道德考虑是至关重要的,因为广告个性化实践可能违反隐私原则并操纵客户行为。分析了电子商务公司在应对新技术风险(如数据滥用或隐私泄露)时可以采取的潜在安全措施。强调专家职能在产业有效适应新技术中的关键作用。建议的研究可用于电子商务市场分析师、专业研究人员、商业协会和其他行业利益相关者的工作。进一步研究的前景包括研究所研究的技术在电子商务领域的应用对公司的经济影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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68
审稿时长
6 weeks
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