SAP IBP

34 results

  1. SAP IBP

    Comparing SAP IBP and o9 Digital Brain

    Reading time: 3 mins

    SAP and o9 target the same strategic problem of transforming supply chains into agile, data-driven systems for growth but differ in their approaches—SAP uses an ERP-centric execution model while o9 leverages an AI-native planning framework.

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

    Reading time: 3 mins

    Leading Brazilian enterprises, like Partage Shopping and MBRF, are migrating to SAP Cloud and integrating AI to enhance operational efficiency and data-driven decision-making, marking a significant shift from traditional digitization to enterprise-wide transformation.

  3. AI for Digital supply chains Tariffs with Zilliant SAP IBP implementation

    Why Master Data Forms the Core of an SAP IBP Strategy

    Reading time: 3 mins

    Nikki Sheridan emphasizes that treating Master Data and Planning Area design in SAP Integrated Planning (IBP) as a mere technical task can lead to long-term issues, arguing that a well-structured planning area is vital for sustainable business decisions.

  4. AI Supply Chain Analytics and SAP Core

    Navigating the Future of SAP Supply Chain Analytics

    Reading time: 3 mins

    Organizations are transforming their supply chains from isolated plans to unified, analytics-driven strategies that empower planners to act as strategic micro-CEOs, leveraging GenAI and integrated data platforms for cross-functional decision-making and enhanced resilience.

  5. Demand Driven Supply Chain and 4flow

    Building A Demand-Driven Supply Chain That Works

    Reading time: 3 mins

    A demand-driven supply chain model, facilitated by SAP DDMRP, enhances responsiveness to real-time market demands, reduces inventory excess, and improves overall efficiency. SAP partners like 4flow enable a demand-driven supply chain by helping businesses transition from forecasting to sensing and empowering planners to strategically manage supply chains through enhanced visibility and data analytics.

  6. AI for Digital supply chains Tariffs with Zilliant SAP IBP implementation

    How Analytics is Turning SAP Planners into Strategic Storytellers

    Reading time: 3 mins

    In a supply chain context, demand planners are transitioning from traditional number crunchers to strategic storytellers through embedded analytics and a collaborative planning approach, allowing them to uncover hidden opportunities and improve overall organizational resilience.

  7. SAP IBP Implementation SAP S/4HANA migration

    A Strategic Framework for Successful SAP IBP Implementation

    Reading time: 3 mins

    To successfully navigate SAP IBP implementation, organizations should adopt a disciplined, phased approach while prioritizing data governance and user trust, as highlighted by Keerthi Gundapaneni from CloudPaths.

  8. DM4Mill

    The Synchronization Imperative for Vertically Integrated Titans with SAP IBP: Part 2

    Reading time: 3 mins

    In an interview with Cameron Schwartz from CloudPaths, the complexities of implementing SAP Integrated Business Planning (IBP) for vertically integrated companies are highlighted, emphasizing the challenges of managing vast data volumes and ensuring stakeholder engagement, alongside the necessity of cross-functional collaboration and effective data governance to achieve successful synchronized planning.

  9. AWS Supply Chain SAP IBP Vertically Integrated

    The Synchronization Imperative for Vertically Integrated Titans with SAP IBP: Part 1

    Reading time: 3 mins

    Vertically integrated companies benefit from end-to-end control of their supply chain through SAP Integrated Business Planning (IBP).

  10. Chemicals Industry Transformation: SAP's Foundation for Strategic Growth – Part 1

    Chemicals Industry Transformation: SAP’s Foundation for Strategic Growth – Part 2

    Reading time: 4 mins

    Brandon Evans, VP, Customer Transformation at NTT DATA Business Solutions discusses how SAP solutions, enhanced by AI, empower chemical companies to optimize operations, manage regulatory challenges, and foster collaboration through unified data environment.