International Journal of Scientific Research and Engineering Development

Digital entrepreneurship is a significant paradigm shift in entrepreneurship, which involves the use of digital technologies to create, innovate and scale businesses numerically and quickly. There are many challenges and barriers that prevent the success of digital entrepreneurship, such as high rate of failure, estimated at 90% within five years of launch (Afuedo, 2019). Artificial Intelligence (AI) data analytics is a key enabler that can support decision making and help reduce the uncertainty of these challenges, leading to higher rates of success. This paper focuses on Artificial Intelligence (AI) predictive analytics and how it can be implemented in startups. The paper's aim is to identify the way predictive analytics can help startups in improving services and products, optimize financial and operational process, improve customer engagement and experience, and increase profits. The paper uses a variety of different techniques: secondary data analysis, synthesis, best practice benchmarking, and a Design-Based Research approach. Through the results from the research and analysis, an AI-Driven Startup Decision Model (ASDM) is proposed using machine learning pipelines and techniques to implement predictive analytics for startups. The research findings show that startups that implement predictive analytics experience up to 30% improvements in many key performance indicators (KPIs), such as increasing customer retention and forecasting by 20%. The research also identified and discussed the challenges of the implementation of predictive analytics including Big Data challenges such as data scarcity, and algorithmic bias.

Dr.Lakshmipathi K N, Niranjana S,"AI-Driven Digital Entrepreneurship: Enhancing Startup Success Using Predictive Analytics" International Journal of Scientific Research and Engineering Development, V9(2): Page(1950-1955) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.