Millions can be lost because of decisions based on inaccurate forecasts. Excess inventory, stockouts, unnecessary purchasing, idle capacity, and lost sales often share the same root cause: poor demand forecasting. Collaborative Forecasting was developed to transform this reality by bringing together knowledge, data, and expertise from different business functions to support far more reliable decision-making.

In today’s rapidly changing business environment, forecasting demand is no longer an activity based solely on statistical models. Developing reliable forecasts requires combining knowledge, experience, and information from multiple areas of the business. Sales, marketing, demand planning, manufacturing, logistics, procurement, finance, and other business functions contribute to building a single, unified view of demand, creating a planning process that is more integrated and better prepared to respond to changing market conditions.

This book provides a comprehensive view of Collaborative Forecasting, from its fundamental principles to its practical application within organizations. Throughout the book, you will learn how to structure the collaborative forecasting process, define roles and responsibilities, organize information flows, build consensus forecasts, manage forecast revisions, establish collaboration models, and develop a planning routine capable of supporting increasingly consistent business decisions.

The content has been developed using a technical approach, accessible language, and a strong practical orientation. The concepts are presented progressively, allowing you to understand both the foundations of the discipline and its application in real business environments. Each chapter expands your understanding of the collaborative process, demonstrating how different business functions can work together to improve forecast quality and strengthen organizational planning.

Throughout the book, you will explore topics such as the principles of collaborative forecasting, cross-functional integration, information sources, forecast development, consensus forecasting, forecast revision management, collaboration models, process improvement practices, collaborative forecasting implementation, case studies across different industries, and the major trends shaping the future of this discipline, including Artificial Intelligence, process automation, Advanced Analytics, real-time collaboration, and collaborative ecosystems.

The book also presents a broad perspective on the evolution of Collaborative Forecasting, demonstrating how emerging technologies, advanced analytical models, and new forms of business integration continue to expand organizations’ ability to understand demand and respond quickly to changes in the business environment.

This book has been written for professionals working in Supply Chain, demand planning, logistics, manufacturing, procurement, finance, consulting, management, as well as students and anyone seeking to deepen their knowledge of one of the most important disciplines in modern business planning.

By the end of this book, you will understand why Collaborative Forecasting has become one of the most valuable disciplines for integrating knowledge, transforming data into decisions, and building organizations that are better prepared to anticipate change, reduce uncertainty, and strengthen their planning capabilities.

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1          What Is Collaborative Forecasting?

1.1       Concept of Collaborative Forecasting

1.2       Evolution of Collaborative Forecasting

1.3       Objectives of Collaborative Forecasting

1.4       Relationship Between Collaborative Forecasting and the Consensus Forecast

1.5       Role in the S&OP Process

1.6       Differences Between Statistical Forecasting and Collaborative Forecasting

1.7       Benefits for the Organization

2          Foundations of Collaborative Forecasting

2.1       Principles of Collaborative Forecasting

2.2       Cross-Functional Integration

2.3       Sources of Information

2.4       Planning Hierarchies

2.5       Aggregation Levels

2.6       Forecast Horizon

2.7       Collaborative Forecasting Cycle

3          Collaboration Models

3.1       Collaboration by Functional Areas

3.2       Collaboration by Events

3.3       Collaboration by Exceptions

3.4       Collaboration by Categories

3.5       Collaboration by Scenarios

3.6       Collaboration by Strategic Customers

3.7       Other Collaboration Models

4          Process Management

4.1       Roles in the Process

4.2       Responsibilities of Organizational Functions

4.3       Information Flow

4.4       Operational Calendar

4.5       Change Control

4.6       Cross-Functional Communication

4.7       Process Documentation

5          Collaborative Forecast Preparation

5.1       Required Data

5.2       Statistical Forecast

5.3       Planning Assumptions

5.4       Data Quality

5.5       Known Events

5.6       Process Calendar

6          Building the Collaborative Forecast

6.1       Collaborative Adjustments

6.2       Functional Contributions

6.3       Exception Management

6.4       Sales Promotions

6.5       New Products

6.6       Discontinued Products

6.7       Scenario Development

7          Building the Consensus Forecast

7.1       Forecast Consolidation

7.2       Resolving Differences

7.3       Cross-Functional Negotiation

7.4       Consensus Criteria

7.5       Approval of the Consensus Forecast

7.6       Publishing the Consensus Forecast

8          Forecast Revision Management

8.1       Regular Revisions

8.2       Extraordinary Revisions

8.3       Version Control

8.4       Change Management

8.5       Communication of Forecast Revisions

8.6       Process Continuity

9          Solutions for Collaborative Forecasting

9.1       Developing a Collaborative Culture

9.2       Alignment Across Business Functions

9.3       Improving Data Quality

9.4       Process Standardization

9.5       Criteria for Collaborative Adjustments

9.6       Team Development

10        Collaborative Forecasting Implementation

10.1     When to Implement Collaborative Forecasting

10.2     Organizational Preparation

10.3     Structuring the Collaborative Process

10.4     Implementing the First Planning Cycles

10.5     Routine Consolidation

10.6     Evolution of Collaborative Forecasting

11        Case Studies

11.1     Manufacturing Industry

11.2     Consumer Goods

11.3     Retail

11.4     Distribution

11.5     Agribusiness

11.6     E-commerce

12        Evolution of Collaborative Forecasting

12.1     Artificial Intelligence

12.2     Process Automation

12.3     Advanced Analytics

12.4     Real-Time Collaboration

12.5     Collaborative Ecosystems

12.6     The Future of Collaborative Forecasting

Disponível nas principais livrarias e plataformas digitais.