Economics of Ecommerce Business

While the buzz surrounding ChatGPT, a generative pre-trained transformer chatbot, has captured headlines, overall artificial intelligence (AI) and machine learning (ML) have quietly made significant strides across numerous industries. AI/ML models are empowering doctors with disease diagnostics, enabling ecommerce platforms to review products at scale and flag fake ones, and assisting banks with automated credit decisioning, showcasing the widespread applications of AI/ML. The automated credit decision engine is often powered by a machine learning model, typically developed using logistic regression due to its ability to explain the factors contributing to credit decisions – whether to accept or reject an application – but is not limited to this technique. This chapter explores the critical financial levers of the e-commerce industry, focusing on both marketplace and inventory-based business models. It delves into the key revenue and cost drivers of the e-commerce marketplace business model, offering a comprehensive understanding of how these elements interplay to shape profitability. A highlight of the chapter is journey from Gross Merchandising Value (GMV) to Contribution Margin 4 (CM4), with each stage meticulously unpacked. The author demonstrates how Artificial Intelligence (AI) and Machine Learning (ML) serve as transformative tools, optimizing these financial levers to improve efficiency, enhance decision-making, and drive profitability.