Scaling AI solutions in E-commerce: A strategic framework for SMEs

Khy, Tykea (2025) Scaling AI solutions in E-commerce: A strategic framework for SMEs. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 1777-1783. ISSN 2582-8266

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Abstract

This article explores the strategic framework for implementing and scaling artificial intelligence solutions in Small and Medium Enterprises (SMEs) within the e-commerce sector. The article examines critical aspects, including strategic pilot implementation, data infrastructure management, cross-functional integration, workforce development, and performance optimization. Through a comprehensive analysis of recent research and case studies, this article identifies key challenges faced by SMEs in AI adoption and presents evidence-based strategies for successful implementation. The article particularly focuses on how SMEs can overcome resource constraints while maximizing the benefits of AI integration across various business functions. The article demonstrates that successful AI implementation requires a methodical approach combining technical infrastructure, organizational readiness, and human capital development while emphasizing the importance of systematic performance measurement and continuous optimization.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.1.0295
Uncontrolled Keywords: AI Implementation Strategy; SME Digital Transformation; E-commerce Technology; Workforce Development; Performance Optimization
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:15
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3097