New Product Forecasting An Applied Approach [Paperback]

Concise and jargon free, this is a one-step primer on the tools and techniques of forecasting new product development. Equally useful for students and professionals, the book is generously illustrated, and features numerous current real-world industry cases and examples. Part I covers the basic foundations and processes of new product forecasting, and links forecasting to the broader processes of new product development and sales and operations planning. Part II includes detailed, step-by-step techniques of new product forecasting, from judgmental techniques to regression analysis. Each chapter in this section begins with the most basic techniques, then progresses to more advanced levels. Part III addresses managerial considerations of new product forecasting, including postlaunch issues such as cannibalization and supercession. The final chapter presents an important set of industry best practices and benchmarks.Foreword, Martin Joseph and Alec Finney; Preface; PART I. FOUNDATIONS OF APPLIED NEW PRODUCT FORECASTING; 1. Introduction to Applied New Product Forecasting; Clarifying the Terminology of Product, Service, and/or Offering; * A New Product Forecasting Directive; * Beginning the New Product Forecasting Endeavor; * Types of New Product Estimates; * New Product Planning Versus New Product Forecasting; * Types of New Products; * New Product Forecasting Techniques; * New Product Forecasting Strategy: Linking Techniques to Type of New Product; * Key Concepts; * Discussion Questions; 2. New Product Development and New Product Forecasting: Process and Structure; The New Product Development Process; * Using Teams to Structure New Product Development; * The New Product Forecasting Process; * Assumptions Management; * S&OP and New Product Forecasting; * Key Concepts; * Discussion Questions; PART II. NEW PRODUCT FORECASTING TECHNIQUES; 3. Judgmental New Product Forecasting Techniques; Jury of Executive Opinion; * Sales Force Composite; * Scenario Analysis; * Delphi lƒ.