A Study on the Role of Bridging the Gender Gap in E-Business: AI Tools for Women's Economic Empowerment

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R. Amutha Bose
H. Padmavathy

Abstract

This study examines how artificial intelligence (AI) tools can be leveraged to bridge the gender gap in E-Bussiness and advance women's economic empowerment, with a specific focus on Tamil Nadu and India. . The digital economy has become a key driver of growth in India, with E-Bussiness platforms reshaping trade, services, and entrepreneurship. Despite these opportunities, women entrepreneurs face structural and cultural obstacles that hinder their full participation. Limited access to capital, unequal digital literacy, and social expectations often prevent women from harnessing the power of online markets. Artificial Intelligence (AI) technologies — such as predictive analytics, chatbots, automated marketing platforms, and recommendation engines — are emerging as transformative tools that can level the playing field. Relying solely on secondary data from government reports, scholarly publications, and industry statistics, this research synthesizes existing evidence to identify patterns, policy gaps, and emerging opportunities. Key findings suggest that AI tools significantly improve market reach, reduce operational costs, and open access to global supply chains for women-led businesses. However, awareness, training, and infrastructure support remain critical barriers. The study also evaluates current government initiatives and private-sector programs in Tamil Nadu aimed at digital skill-building and financial inclusion. Using descriptive tables to illustrate participation trends, this paper underscores the importance of gender-sensitive digital policies and investments in AI literacy. The analysis concludes that bridging the gender gap in E-Bussiness is not merely a question of equality but an economic imperative for sustainable growth. Policy recommendations include integrating AI into skill development schemes, enhancing access to affordable digital infrastructure, and promoting mentorship networks powered by AI-driven platforms. The findings have implications for policymakers, educators, financial institutions, and technology providers seeking to empower women in the era of Industry .The paper highlights the challenges faced by women entrepreneurs, including limited access to technology, funding barriers, and socio-cultural constraints, while exploring how AI-driven solutions—such as digital marketing automation, intelligent analytics, and virtual mentorship—can enable women to participate effectively in the digital economics.

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