IBF Leadership Forum

October 21 – 22, 2020

This on-demand virtual forum is an immersive program, designed to provide users with best practices from planning and forecasting experts - all from the comfort of your home or office. This year’s event is designed to give executives the tools they need to build and lead effective teams—in good times and bad—focusing on three key areas: People, Process and Technology. Because it’s online, you can access the same valuable insight you get at IBF's physical events, but at lower cost and without the need to travel!

Sponsor Presentation-Logility

Get Access to Video and Materials (for 3 Months) for $99.00

Executive Stream 1: How to Improve Your Demand Planning and S&OP/IBP Processes

by Patrick Bower, Steven Hainey, CPSM, CPIM, CPF, MCIPS, C.P.M., Tim Hotze, John Hellriegel, CPF, Debbie Climer, Anne-Laure Coussot

Get Access to Video and Materials (for 3 Months) for $99.00

Executive Stream 2: Developing Adaptable & Effective Planning Processionals

by Todd Gallant, ACPF, Joseph Eschenbrenner, ACPF, Jessica Lackey, Debbie Climer, Anne-Laure Coussot

Get Access to Video and Materials (for 3 Months) for $99.00

Sponsor Presentation-John Galt

Get Access to Video and Materials (for 3 Months) for $99.00

Fundamentals of Demand Planning & Forecasting Workshop - 3 Hours

by Eric Wilson, ACPF

Get Access to Video and Materials (for 3 Months) for $199.00

Sponsor Presentation-OMP

Get Access to Video and Materials (for 3 Months) for $99.00

Executive Stream 3: Technology, Big Data, and Digital Transformation for the New Age of Predictive Analytics

by Eric Wilson, ACPF, Andrew D. Schneider, ACPF, Tim Hotze, Joseph Eschenbrenner, ACPF, Jon Ostrom

Get Access to Video and Materials (for 3 Months) for $99.00

Benchmarking and Assessing Your S&OP/IBP Strength

by Eric Wilson, ACPF

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What is Croston’s Intermittent Model?

Designed to deal with sporadic demand (no seasonality) with a two-step process. The main goal is to provide a good safety stock, resulting in a situation where there is neither over or under stock. This is accomplished by considering two aspects of the data: the demand size and the…

Read on in the Glossary