The chapter on robo-advisors provides an extensive overview of the evolving landscape of automated financial advisory services. It begins by defining robo-advisors, highlighting their reliance on advanced algorithms and artificial intelligence to deliver low-cost, efficient investment advice and portfolio management. The chapter details the substantial market growth of robo-advisors, with projections showing significant increases in assets under management and user adoption rates. Notable Fintech implementations, such as Betterment and Wealthfront, are examined for their innovative approaches and market impact. Advantages of robo-advisors, including cost efficiency, 24/7 availability, and personalized recommendations, are discussed alongside the various investment options they provide. The chapter also includes a literature review that explores the quantitative techniques employed by robo-advisors, such as mean-variance optimization, the Black–Litterman model, and Monte Carlo simulations, along with the use of advanced machine learning methods for portfolio management. Further, the chapter addresses the promises and pitfalls of robo-advisors, emphasizing their potential for enhancing diversification and reducing behavioral biases, while also noting their current appeal to more active and wealthy investors. The customization of investment portfolios through client questionnaires and algorithmic optimization is also detailed, showcasing how robo-advisors tailor strategies to individual financial goals and risk tolerances.