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Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

Hot Topics

Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

SAP IBP

SAP IBP: Integrated Business Planning for Supply Chain

SAP Integrated Business Planning (IBP) is cloud-based planning software that helps organizations align supply chain operations with financial and strategic goals. Built on the SAP HANA platform, it enables real-time scenario planning, demand sensing and inventory optimization across global networks. According to SAPinsider benchmark research, supply chain planning capabilities are evolving from operational tools to strategic enablers of business agility and resiliency. SAPinsider tracks how SAP IBP is being deployed across industries to improve forecast accuracy, reduce costs and strengthen supply chain resilience. See how organizations are using SAP IBP below.

What Is SAP IBP?

SAP Integrated Business Planning is a cloud-native supply chain planning solution that uses real-time data to help companies respond quickly to market volatility. Its core modules — IBP for Demand, IBP for Inventory, IBP for Response and Supply, IBP for S&OP and the Supply Chain Control Tower — translate desired business outcomes into financial and operational requirements. By combining time series forecasting, machine learning and scenario testing with native Microsoft Excel connectivity, SAP IBP helps organizations maximize profit and cash flow while minimizing supply chain risk.

What Use Cases Are Referenced?

Demand Sensing Improves Short-Term Demand Forecasting at Arla Foods

Arla Foods, the world’s fourth largest dairy company, deployed SAP IBP demand sensing with machine learning to sharpen short-term forecast accuracy. The initiative delivered a 5.5% forecast accuracy improvement in Denmark and 2.4% in the UK, along with higher order fulfillment rates and reduced inventory costs across its global network.

How Brazilian Companies Are Elevating Business Performance with SAP Cloud and AI-Driven Planning

Partage Shopping achieved a 40% reduction in process execution times after adopting SAP cloud solutions, while MBRF, one of the world’s largest food producers, deployed SAP IBP with AI-powered forecasting and a beta AI assistant via SAP Fiori. SAPinsider research shows 43% of respondents say access to generative AI is changing their thinking on SAP Cloud ERP, up from 14% in 2023.

Clorox Completes Five-Year SAP S/4HANA Transformation

Clorox completed a $580 million, five-year SAP S/4HANA transformation that integrated finance, supply chain, sales and planning through real-time data, with SAP IBP deployed for demand forecasting. Productivity gains are not expected until fiscal 2027, reflecting a 12-to-18-month post-go-live lag typical of large-scale ERP transformations.

Enhancing Supply Chain Efficiency with SAP IBP and CloudPaths

Fragmented data remains a persistent barrier to supply chain optimization. Almost half of organizations cite fragmented data as an inhibitor to optimal analytics use, though poor integration capabilities dropped from 47% in 2023 to 27% in 2024 as the primary inhibiting factor, signaling improving data connectivity in SAP IBP environments.

SAP Pushes Agentic AI to Center of Supply Chain Resilience Strategy

SAP is positioning agentic AI as a core driver of supply chain resilience, with early results showing supplier onboarding cut 50%, unplanned outages reduced 30% and lead times shortened 25%. AI is also projected to reduce logistics costs 15% and optimize inventory 35%, with organizations that invest more heavily in AI reporting revenue growth 61% greater than peers.

What SAPinsider Research Supports This Topic?

Supply Chain Planning in the Cloud Benchmark Research

Based on a survey of 106 SAPinsider community members, this benchmark report finds that supply chain planning capabilities are evolving from operational tools into strategic enablers of business agility and resiliency, with cloud computing delivering meaningful enhancements to tools such as SAP IBP.

ERP Migration and Transformation 2026

Surveying 296 SAPinsider members, this report finds 55% have deployed S/4HANA or S/4HANA Cloud, 48% cite SAP AI announcements as the top external factor shaping their ERP strategy and 43% of supply chain teams are actively involved in ERP transformation initiatives.

Technology Leaders’ Strategic Agenda for 2026

This SAPinsider research report finds 70% of technology leaders cite operational efficiency and cost reduction as their top priority, 32% are targeting supply chain resilience and 33% plan to apply AI to supply chain planning and optimization, with 40% planning predictive analytics and forecasting initiatives.

See Latest Related Content Below

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AI Supply Chain Analytics and SAP Core
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Chemicals Industry Transformation: SAP's Foundation for Strategic Growth – Part 1
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DM4Mill
Probabilistic Supply Chain and Demand Forecasting with SAP IBP: Deliver Results Using Data ScienceSAP introduced the concept of Probabilistic Supply Chain into its SAP IBP product in the current and future versions with adaptive and very powerful algorithms for large data sets. Certainly, AI has been around within the SAP landscape for a while with extremely powerful algorithms in the SAP BW-Data Mining suite and SAP HANA PAL library. In this article, SAPinsider expert Dr. Marco Sisfontes-Monge will explore the factors users should consider when choosing products like SAP IBP. They include finding the right tools, addressing the scope of the issue, acceptable levels of accuracy, data reporting, and more.

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