Forecasting Methods and Inventory Models for Beginners

Every successful business relies on predicting future demand and managing stock efficiently to avoid costly stockouts and excessive carrying costs. This text-based course introduces you to the essential quantitative models used to forecast demand and control inventory. You will transition from guessing future sales to using structured, mathematical methods. By reading through clear explanations and practicing with written exercises, you will gain the confidence to apply exponential smoothing, calculate seasonal adjustments, and determine optimal stock levels. What you'll learn: Understand the core terminology of demand forecasting and inventory management; Apply exponential smoothing models to project future business demand; Calculate seasonality adjustments to account for predictable sales fluctuations; Determine optimal order quantities using foundational inventory models; Analyze safety stock requirements to balance holding costs and service levels; Explore how modern data tools and automated algorithms are shaping predictive logistics today. The course begins with key terminology and foundational definitions before moving step-by-step through forecasting calculations and inventory control formulas. It is designed entirely for beginners, with no prior background in operations research or advanced statistics required. Start reading today to build your analytical skills and optimize your business operations.