Why E-Commerce Startups Fail: can machine learning provide solution?

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Kuantum Teknolojileri ve Enformatik Araştırmaları Dergisi
Volume 3, Issue 1
Why E-Commerce Startups Fail: can machine learning provide solution?

Why E-Commerce Startups Fail: can machine learning provide solution?

Pages : 1-13

View : 34 | Download : 1

Publication Date : 2025-04-05

Article Type : Review Paper

Abstract :[eng] E-commerce has transformed how businesses operate, providing customers with convenience and companies with access to global markets. However, despite its vast potential, many e-commerce initiatives have failed due to either external conditions such as local or global market fluctuations or internal conditions such as a mixture of poor planning, financial mismanagement, operational inefficiencies, and cybersecurity risks. Focusing on the market fluctuations which is a key component for external conditions. A simulative dataset that mimics real-world market conditions is used to present contribution of machine learning to decision making stages. The usage of informatics could help mitigate these risks by improving decision-making, security, and operational efficiency, and in turn could prevented many of the failures.
Keywords : e-commerce, failure, informatics, XGBost, ML, e-commerce, failure, informatics, XGBost, ML

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