Course Details
Demand Planning Excellence in the Age of AI: Improve Forecast Accuracy and Navigate Demand Volatility
This course combines proven Demand Planning principles with the practical application of Artificial Intelligence (AI) and Machine Learning (ML). Participants will learn how to improve forecast accuracy, reduce planningrelated costs, and build more effective planning processes. The course covers statistical forecasting, demand segmentation, forecast performance measurement, consensus forecasting, promotions, new product introductions (NPI), and S&OP demand reviews. Each module explores the practical application of AI and Machine Learning within Demand Planning, providing participants with a balanced understanding of both technological capabilities and the role of planner expertise in effective decision-making. Participants will gain practical tools for managing seasonality, trends, volatility, and unexpected disruptions in today's rapidly changing business environment. The course is part of Intelichain's professional education program and has been attended by supply chain professionals from leading organizations
Virtual Class Schedule:
January 19, 2027 - Module 1 - 11 am ET- 1 pm ET
Instructors: Roei Aviram leads and Dr. Gabi Pinto
Learning Objectives:
Demand Planning Foundations The evolving role of Demand Planning in modern supply chains. Sales, Demand Planning, Forecasting, and Demand Management. Core principles and best practices of world-class Demand Planning. The organizational impact of an effective Demand Planning function. The role of AI and Machine Learning in supporting planning decisions. Common planning mistakes and how leading organizations avoid them.
January 26, 2027 - Module 2 -11 am ET- 1 pm ET
Learning Objectives:
Instructors: Dr. Gabi Pinto leads and Roei Aviram
Segmentation & Statistical Forecasting Demand segmentation methodologies and when to apply each model. Statistical forecasting techniques and model selection. Applying AI to improve accuracy across different demand patterns. Segmentation by product, customer, geography, seasonality, and lifecycle. Managing demand behaviors using appropriate forecasting models. Combining statistical forecasting with AI-driven forecasting.
February 2, 2027 - Module 3 - 11 am ET- 1 pm ET
Instructor: Roei Aviram
Learning Objectives:
Demand Planning KPIs & Consensus Forecasting The KPIs that matter most in measuring forecasting performance. Forecast Accuracy (MAPE, WAPE & Forecast Bias) and when to use each. Building consensus across Sales, Marketing, Finance, and Operations. Forecast exception management and forecaster productivity. How AI identifies forecast exceptions and recommends actions. Measuring forecasting maturity and driving continuous improvement.
February 9, 2027 - Module 4 - 11 am ET- 1 pm ET
Instructors: Roei Aviram and Jack Rodenberg
Learning Objectives:
Events & Product Lifecycle Planning Promotion and event demand planning. Product lifecycle planning and demand transitions. New Product Introduction (NPI) forecasting. Managing demand uncertainty and market disruptions. AI-assisted forecasting for promotions and product launches. Practical planning techniques for dynamic demand environments.
February 16, 2027 - Module 5 - 11 am ET- 1 pm ET
Learning Objectives:
Instructors: Jack Rodenberg leads and Roei Aviram
AI-Driven Demand Planning AI and Machine Learning applications in Demand Planning. Human-AI collaboration in planning and decision-making. Scenario planning and AI-driven simulations. Interpreting and validating AI-generated recommendations. Intelligent planning, automation, and digital transformation. Future trends shaping Demand Planning and Supply Chains.
February 23, 2027 - Module 6 - 11 am ET- 1 pm ET
Instructor: Roei Aviram
Learning Objectives:
Demand Planning & S&OP Integration Integrating Demand Planning into the S&OP process. Preparing and conducting an effective S&OP demand review. Aligning assumptions, risks, and opportunities across functions. Using scenarios to support cross-functional planning decisions. Translating the consensus forecast into an agreed demand plan. Practical application, key takeaways, and course wrap-up.
View DetailsMember Price: $1,095.00
VIRTUAL CLASS
Date
Jan 19, 2027 To Feb 23, 2027
Location
Additional Information
Presenters
Roei Aviram,
Founder & CEO
Expert in Global Supply Chain Planning, with specialization in Demand Planning,
Optimization, and end-to-end planning in dynamic, rapidly changing
environments and S&OP processes. Recognized as one of the world's leading
experts in Global Supply Chain Planning by CIO View magazine.
Previously served as a senior executive at leading consulting firms and managed
global supply chain operations for multinational organizations. Holds a Bachelor's
degree in Industrial Engineering & Management and a Master's degree in Supply
Chain Management, and regularly lectures in academic and professional
programs.
Hadar Ben Tal
Solutions Manager
Expert in process optimization and solution implementation, leading AI-
powered optimization projects and Demand Planning initiatives. Extensive
experience in S&OP processes and working with global organizations to
design and implement advanced supply chain planning solutions.
Holds a Bachelor's degree in Industrial Engineering & Management, with
specialization in Supply Chain Management.
Dr. Gabi Pinto,
Chief Scientist & Head of Algorithms
Researcher and global expert in Supply Chain Planning, Operations,
Optimization, Production Planning, and behavioral aspects of
organizational decision-making. Holds a Bachelor's degree in Industrial
Engineering & Management, a Master's degree in Business
Administration, and a Ph.D. in Industrial Engineering & Management.
Amir Tzabari,
Senior Consultant
Experienced consultant and practitioner with more than 20 years of
expertise in Supply Chain Operations and Operational Planning across Israel
and internationally. Previously served as VP of Supply Chain at Carmel
Winery and as Director of Manufacturing Planning for multinational
organizations.
Holds a Bachelor's degree in Industrial Engineering & Management.
Terms And Conditions
Virtual Learning Transferals: Registrations are transferable without any charge to another ISM Virtual Learning Course occurring within 12 months of the original purchase. Transferring registrations to another party are subject to price variance or change based on membership status and an additional $50 fee will be incurred. Any bundled purchases are non-refundable.
Cancellations Virtual Learning: Cancellations more than 5 weeks before the date of the course will incur an administrative charge of 50 percent. Cancellation within 5 weeks of the date of the event will be charged the full fee. You must notify ISM in writing of a cancellation. Any bundled purchases are non-refundable.
Tax Deduction: The Internal Revenue Service may permit an income tax deduction to U.S. residents for expenses (including registration fees, travel costs, meals and lodging) incurred in pursuit of continuing professional education. Consult your tax adviser for details.