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Expert Insights are written by subject matter experts who provide step-by-step, technical guidance for the people, process, and data requirements that support leading business strategies.
186 results
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Compatibility Scope For SCM Items & How You Can Solve That
Reading time: 7 mins
When SAP S/4HANA was introduced, SAP tried to get rid of redundant old functions (Simplification) to reduce the effort of support etc. For some other functions, SAP granted limited usage rights till the end of 2025 resp. 2030 (Compatibility Packs/Scope/Package/…). Positive list of compatibility packs as documented in SAP Note 2269324 and referenced in the…
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Why An Effective AI Strategy Needs SAP Business Data Cloud
Reading time: 5 mins
SAP has launched the Business Data Cloud (BDC) to help enterprises effectively integrate and manage SAP and non-SAP data within a unified data fabric, enhancing AI and analytics capabilities while preserving business context for informed decision-making.
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The Cloud-AI Convergence: How SAP’s Strategic Evolution is Redefining Enterprise Success in 2025
Reading time: 5 mins
A perspective for SAP customers and partners navigating the next chapter of business transformation.
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Your Journey, Our Purpose: How SAP Business Technology Platform Accelerates Digital Transformation
Reading time: 9 mins
The article emphasizes the importance of digital transformation through emerging technologies like AI and cloud solutions, highlighting how organizations can overcome legacy system challenges to innovate, enhance customer experiences, and ensure future growth, particularly using offerings like SAP Business Suite and SAP Business Technology Platform.
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Safety Stock Planning Part 5: SAP Add-on Simulation of Safety Stock: Time Dependent Safety Stock
Reading time: 5 mins
SAP offers consulting solutions to enable the first step in demand-driven planning: strategic inventory positioning. For this you can use the consulting solution MRP Monitor to detect which of your materials should be buffered.
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Safety Stock Planning – Part 4: SAP Add-On Simulation of Safety Stock: Service Level Optimization
Reading time: 3 mins
SAP offers consulting solutions to enable the first step in demand-driven planning, the strategic inventory positioning. For this you can use the consulting solution MRP Monitor to detect which of your materials should be buffered.
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Rumble in the Jungle Round 3: Using Anthropic Claude to Automate SAP SAC Script code
Reading time: 9 mins
In a comparison of AI chatbots for SAP coding, Anthropic Claude outperformed OpenAI's ChatGPT and Google's Gemini by resolving challenges quickly with simpler code and fewer iterations, demonstrating its efficiency and user-friendliness in enhancing SAP SAC applications. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here
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- SAP Supply Chain Planning
Premium
Safety Stock Planning – Part 3: SAP Add-on Simulation of Safety Stock, Calculating & Simulating Safety Stock
Reading time: 10 mins
SAP offers consulting solutions to enable the first step in demand-driven planning, the strategic inventory positioning. For this you can use the consulting solution MRP Monitor to detect which of your materials should be buffered. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here
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From DX to AX: Why the Future of AI Depends on Agent Experience and Open Standards Like MCP
Reading time: 4 mins
As AI agents gain autonomy and integration into workflows, the concepts of Agent Experience (AX) and Model Context Protocol (MCP) are revolutionizing software design by prioritizing the agent’s interaction within systems, ensuring clarity, trust, and effective functionality.
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Rumble in the Jungle Round 2: Using Google Gemini to Automate SAP SAC Script Code
Reading time: 9 mins
In Round 2 of the ‘Rumble in the Jungle’ SAP Hackathon, Google Gemini was tested against the task of improving SAP SAC JavaScript code but ultimately failed to produce a functional solution, complicating the code beyond necessity and highlighting its inefficiency compared to ChatGPT.
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