May 13, 2024
•3 minute read
SAP Supply Chain Management
SAP Supply Chain Management: Strategies, Use Cases and Research for SAP Practitioners
SAP supply chain management covers the end-to-end flow of goods, services and information between businesses and the locations that move products to consumers faster and at less cost. From supply chain planning and logistics to manufacturing, product lifecycle management and enterprise asset management, organizations running SAP face mounting pressure to modernize operations. SAPinsider research shows 54% of organizations cite SAP AI announcements as a top external factor shaping their transformation strategies. This page covers the use cases, research and tools that SAP practitioners need to navigate that shift.
What Is SAP Supply Chain Management?
SAP supply chain management is the coordination of material, product and information flows across the extended enterprise using SAP technologies. It encompasses supply chain planning to align demand and inventory, logistics to move goods quickly and sustainably, manufacturing execution powered by AI and IoT, and product lifecycle management to govern product data from design through retirement. Organizations use SAP’s supply chain portfolio to improve data visibility, strengthen vendor relationships, support lean and on-demand inventory strategies, and reduce financial and operational risk across global networks.
What Use Cases Are Referenced?
BSH Uses SAP Business Network Global Track and Trace to Build Real-Time Logistics Visibility
BSH deployed SAP Business Network Global Track and Trace to replace static ETAs with real-time tracking across sea, road and rail. The solution integrates more than 500 logistics providers and supports operations in more than 50 countries, giving BSH a unified logistics visibility layer across its global supply chain.
Medline Sparks a Revolution in Healthcare Supply Chain Management With SAP on Azure
Medline migrated its SAP environment to Microsoft Azure and deployed an AI-driven Mpower platform, achieving more than an 80% reduction in key SAP transaction times, IDoc processing accelerated more than 50% and average response times for essential transactions down nearly 60%, transforming healthcare supply chain performance at enterprise scale.
SAP Pushes Agentic AI to Center of Supply Chain Resilience Strategy
SAP is embedding agentic AI across its supply chain portfolio, with results including supplier onboarding cut 50%, unplanned outages reduced 30% and lead times shortened 25%. Organizations with higher AI investment report revenue growth 61% greater than peers, while AI is projected to reduce logistics costs 15% and optimize inventory levels 35%.
Growing US-Based CPG Company Turns to Argano to Overhaul Supply Planning and Inventory Management
A US-based consumer packaged goods company partnered with Argano to redesign its SAP supply planning and inventory processes, reaching a 98% optimization rate for its finished goods supply plan. The engagement addressed growing complexity cited by 53% of companies as the top driver of supply chain transformation.
Salling Group Expands Its Market Reach With SAP
Denmark’s Salling Group standardized operations across its supermarket banners using SAP ERP for data uniformity and warehouse replenishment rules. Redwood consolidation of logistics transactions enabled 24/7 supply chain operations, allowing the retailer to scale market reach without disrupting its existing SAP environment.
What SAPinsider Research Supports This Topic?
ERP Migration and Transformation 2026
The SAPinsider ERP Migration and Transformation 2026 report found that 55% of organizations have deployed S/4HANA or S/4HANA Cloud, while 54% cite SAP AI announcements as the top external factor shaping their ERP and supply chain transformation planning.
Based on a survey of 170 SAPinsider community members, the SAP S/4HANA Migration 2025 report found that 32% of organizations have already completed their S/4HANA transition and 27% are in active implementation, signaling broad momentum toward the platform underpinning modern SAP supply chain operations.
Growing US-Based CPG Company Turns to Argano to Overhaul Supply Planning and Inventory Management
SAPinsider research cited in this report found that 53% of companies identify increasing complexity and risk as the top driver of supply chain transformation, while 43% highlight the growing prominence of AI and machine learning on their corporate agenda as a key motivator.
See Latest Related Content Below
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May 13, 2024
•6 minute read
How SAP Digital Manufacturing will Change Your Approach to MESClick Here to View the Session Deck. We will discuss how MES in the cloud has become a reality. See how using templated solutions and a fit-to-standard approach will have you rethinking what MES can do and how to manage it. We will also show real world deployments in both discrete and process industries. You […]
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Manufacturers are increasingly keen on tying compensation to sales figures and price realization at the customer level, reserving discounts for distributors that deliver sales at their targeted price level. Incentivizing resellers is becoming a much more popular tactic among B2B manufacturers.
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Advanced MRP post processing with new MD06 and new MD04 – Part 1The MRP exception monitor offers a comprehensive overview of the entire supply chain, including crucial materials, significant orders, parts shortages, MRP exception alerts, current stock levels, and key performance indicators. This single transaction equips MRP planners or buyers with all the essential data needed for proactive decision-making. Similarly, the enhanced MD04 transaction delivers a wealth of information that surpasses what the traditional MD04 provided. Both new transactions include the ability to make bulk changes, integrate with MS Excel, and offer additional features.
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Workforce Shortages in Supply Chain and Logistics: A Call to Action for SAP UsersA study by Descartes Systems Group reveals a severe workforce shortage in the supply chain and logistics industry, impacting operations, finances, and customer service. A significant 76% of leaders reported workforce shortages, with 37% describing the issue as high to extreme. Particularly, transportation and warehouse functions are the most affected. Additionally, there is a notable difficulty in hiring knowledge workers necessary for today's technology-dependent supply chain operations.
For SAP users, addressing these challenges is crucial. They need to leverage SAP's HR and workforce planning modules to enhance recruitment, training, and retention strategies, aligning workforce management with business demands. This approach can help mitigate the adverse effects of workforce shortages by utilizing technology to streamline and optimize workforce capabilities in the supply chain and logistics sectors.
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Navigating Global Supply Chain Disruptions with AI-based SolutionsThe global supply chain has faced significant upheaval due to various disruptions such as the COVID-19 pandemic, climate-related events, and geopolitical conflicts. These challenges have revealed weaknesses in traditional supply chain models and highlighted the need for resilience and agility. Businesses are dealing with logistical bottlenecks, fluctuating demands, and rising costs, necessitating innovative solutions.
Artificial Intelligence (AI) is reshaping supply chain management, evolving from an emerging technology to a vital tool for operational efficiency. AI technologies like machine learning, predictive analytics, natural language processing, and the Internet of Things (IoT) each play a role in enhancing supply chain functions. Machine learning improves demand forecasting, predictive analytics helps anticipate disruptions, natural language processing enables better communication, and IoT offers real-time tracking and monitoring. Collectively, these technologies enhance risk mitigation and drive supply chains toward new levels of optimization and responsiveness.
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The use of Cortex Demand Sensing within this framework provides organizations with tools like impact alerts, which notify of forecast anomalies driven by factors like unexpected weather or promotional activities. Further, integration with Google Cloud tools such as BigQuery, Vertex AI, and Looker enriches data analysis, enabling the identification of key demand drivers and enhancing predictive model accuracy. This holistic data approach aids in optimizing various business aspects, including promotions, inventory control, and demand-supply balance, ultimately leading to better demand forecasting accuracy.
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Case Study: Learn How Syngenta Changed the Logistics Game by Adopting SAP Business Network for Logistics and Other SAP InnovationsClick Here to View the Session Deck. In this customer session, see how Syngenta, a global agribusiness, transformed its supply chain operations by leveraging Business Networks for logistics. We will learn about the challenges Syngenta faced in managing their logistics operations, some of the innovations they have introduced, and how they envision the future. In […]
Apr 29, 2024
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