This is a recording of the GitaCloud Touchless Forecasting webinar co-hosted with Nvidia and SAP. Anthony Noguera from Nvidia presents demand planning processes, challenges, and ML co-innovation at Nvidia. Ashutosh Bansal from GitaCloud presents typical challenges customers face with demand forecasting and how Touchless Forecasting can help reduce error and planner effort.

Watch Varian Medical Team discuss lessons learned from their SAP IBP implementation and how GitaCloud delivered customer success through an innovative solution for their Make To Order business. SAP IBP does not currently support Variant Configuration based Sales Orders in S/4HANA to be integrated into IBP. GitaCloud team resolved this foundational gap with their ValueNow MTO Solution Extension in a quick 4-month timeframe.

This is a full recording of the GitaCloud webinar focused on SAP Integrated Business Planning IBP for Make To Order MTO industries.

Kevin Lau and Markus Vogel from Varian Medical present their SAP Integrated Business Planning IBP success story. Ashutosh Bansal from GitaCloud presents a design showcase to enable SAP IBP for Make To Order MTO industries. Eric Simonson from SAP presents the long term roadmap for SAP IBP Response & Supply to support MTO industries.

This video is part of Innovation Series from GitaCloud. It explains how organizations should capture forecast change cycle over cycle and why this matters.

This video is part 4 of IBP for Finance Series from GitaCloud. It showcases how to run S&OP and FP&A processes together as a true IBP process in a unified planning model enabled by SAP IBP. We introduce the concept of Business Control Tower, that enables translation of supply chain plans into projected financial and business performance.

This video is part 2 of IBP for Finance Series from GitaCloud. It showcases how to generate Income Statement (P&L), Cash Flow Statement, and Balance Sheet based on granular plans in SAP IBP.

This video is part of SAP IBP Explainer Video Series from GitaCloud. This is Part 2 of the Aggregate Constraints in Supply Planning Optimization topic. It explains how IBP Supply Optimizer can model aggregated financial constraints to model advanced use cases, such as maximum inventory dollars for finished goods or raw materials at the end of the year across the supply network.

This video is part of SAP IBP Explainer Video Series from GitaCloud. This is Part 3 of the Explanation of Optimizer Results topic. It explains how IBP Cost Model can be fine-tuned to influence demand prioritization and how max delay constraints can be modeled in a period-specific manner.

This video is part of SAP IBP Explainer Series from GitaCloud. This is Part 3 of the Adjusted Key Figure topic. It explains how production planners can control Production Receipts from Production Plants using Adjusted Key Figures.

This video is part of SAP IBP Explainer Series from GitaCloud. This is Part 5 of the Lot Sizes topic. It explains how Dynamic Periods of Supply lot sizing procedure reduces the over-planning challenge with Static Periods of Supply. It also covers Dynamic Periods of Supply with Safety Stock procedure.