Introduction to Dynamic Pricing and Algorithmic Revenue Management

In today's fast-paced market, static pricing is a missed opportunity. To maximize profitability, modern businesses must adapt their prices in real-time based on demand, customer behavior, and market data. This text-based course teaches you how to design and apply dynamic pricing strategies using foundational mathematical models and data-driven algorithms. You will learn to: Understand the fundamental principles of revenue management and price differentiation; Model customer demand using historical data and basic forecasting techniques; Segment target audiences effectively to apply tailored pricing strategies; Analyze pricing algorithms that adjust tariffs in real-time based on market fluctuations; Evaluate ethical considerations and customer perception of dynamic pricing models. You will start with core economic definitions and pricing terminology before moving step-by-step through demand forecasting, segmentation frameworks, and algorithmic adjustment models. This course is designed for beginners, including business analysts, product managers, and entrepreneurs, with no prior experience in advanced mathematics required. Start reading today to master the science of profitable pricing.