Enhancing Women's Entrepreneurship through AI: A Platform for Business Development and Intelligent Funding Recommendations

Abstract

Women's entrepreneurship plays a pivotal role in fostering inclusive economic development, yet women-led ventures often face systemic barriers in accessing resources, mentorship, and financial capital. This review paper explores the transformative potential of artificial intelligence (AI) in bridging these gaps by enabling intelligent, data-driven platforms for business development and funding recommendation. AI-driven platforms offer personalized support through predictive analytics, market trend analysis, and automated decision-making, enabling women entrepreneurs to make informed choices about product development, market positioning, and strategic scaling. The paper systematically reviews recent research and real-world implementations of AI technologies—such as machine learning algorithms, natural language processing, and recommender systems—that are being employed to support women entrepreneurs. We evaluate how these technologies assist in opportunity identification, competitor analysis, risk management, and personalized funding recommendations based on venture maturity, domain focus, and investor preferences. In particular, the integration of AI with digital financial services is discussed in the context of improving credit scoring, micro-loan accessibility, and investor matchmaking for women-led startups. Furthermore, the paper highlights several AI-powered platforms, incubators, and government initiatives aimed at creating inclusive entrepreneurial ecosystems. The review identifies challenges such as data bias, algorithmic transparency, and digital literacy that must be addressed to ensure equitable outcomes. The paper concludes by proposing future research directions and policy interventions to leverage AI ethically and effectively in empowering women entrepreneurs globally.