Data-Driven Supply and Pricing Optimization

In today's competitive market, businesses must balance inventory costs with pricing strategies to maximize profitability. Understanding how to model supply and demand using real-world data is a crucial skill for modern analysts. This text-based course guides you through the foundational principles of supply chain optimization and strategic pricing. You will learn how to analyze historical data, forecast demand, and apply mathematical models to solve inventory and pricing challenges. What you'll learn: - Understand key terminology in supply chain management and pricing theory. - Analyze demand elasticity to determine optimal price points. - Apply basic optimization models using modern data analysis concepts. - Evaluate inventory levels to minimize holding costs while avoiding stockouts. - Implement dynamic pricing strategies based on market fluctuations. The course starts with essential definitions and theoretical concepts before moving into practical data-driven scenarios. You will progress from simple demand curves to multi-variable optimization models through step-by-step written explanations and code examples. This course is designed for aspiring data analysts, business analysts, and operations professionals who are new to supply and pricing optimization. No advanced mathematical background is required. Start reading today to unlock the power of data-driven business decisions.