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

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.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-04-24
DOI
https://doi.org/10.30574/wjaets.2025.15.1.0295
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Tykea Khy
World Journal of Advanced Engineering Technology and Sciences
Big Data and Business Intelligence
article

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

Tykea Khy
article en

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.

World Journal of Advanced Engineering Technology and SciencesVol. 15(1)
Openalex Percentile: Top 87%
Big Data and Business Intelligence
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Scaling AI solutions in E-commerce: A strategic framework for SMEs — Tykea Khy · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS