Predictive MRP (pMRP) in SAP S/4HANA for simulating Supply/Demand Scenarios : Useful in Inventory-Provision

Definition Predictive Material Requirements Planning (pMRP) is a simulation tool in SAP S/4HANA (introduced in 1909 release, enhanced in later versions) that helps planners simulate future supply and demand situations without impacting live production data. Itโ€™s not a replacement of classic MRP Live (MD01N), but rather a strategic, scenario-based planning tool. ๐Ÿ”‘ Key Features Simulation-Based … Continue reading Predictive MRP (pMRP) in SAP S/4HANA for simulating Supply/Demand Scenarios : Useful in Inventory-Provision

SAP S/4HANA Inventory Slow-Moving/Non-Moving using AI/ML , with TCODES and FIORI Apps โ€“ Part 3

Let's map the AI features (explained in Part1 and Part2) into a ready-to-use โ€œInventory Provision Process Flowโ€ in S/4HANA showing exact FIORI Apps and transactions for each AI Step Hereโ€™s a proposed ready-to-use AI-enabled Inventory Provision Process Flow for SAP S/4HANA 2023, with exact Fiori apps / backend transactions mapped for each stage. Let's structure … Continue reading SAP S/4HANA Inventory Slow-Moving/Non-Moving using AI/ML , with TCODES and FIORI Apps โ€“ Part 3

SAP S/4HANA Inventory Slow-Moving/Non-Moving using AI/ML – Part 2

What AI Functionality is available in SAP S/4HANA for Inventory provision In SAP S/4HANA (2023 release) there isnโ€™t a single packaged feature called โ€œInventory Provision with AIโ€, but there are multiple embedded Machine Learning and Business AI capabilities that can be configured to support or automate the inventory provision process (i.e., creating provisions for slow-moving, … Continue reading SAP S/4HANA Inventory Slow-Moving/Non-Moving using AI/ML – Part 2

SAP S/4HANA Inventory Slow-Moving/Non-Moving using AI/ML – Part 1

AI in SAP S/4HANA (2023 & Beyond) 1. SAP S/4HANA Cloud Private Edition 2023 FPS 03 Key AI/automation enhancements in finance and operations include: AI-Assisted Journal Uploads: Generative AI validates and classifies journal entries, reducing manual effort and improving accuracy. Predictive Labor Demand Planning: Uses AI to forecast labor needs for warehouse processes, boosting productivity … Continue reading SAP S/4HANA Inventory Slow-Moving/Non-Moving using AI/ML – Part 1

SAP S/4HANA intelligent Inventory Management

S/4HANA integrates machine learning algorithms to enable intelligent inventory management. ML algorithms can predict demand patterns, optimize reorder points, and automate inventory replenishment processes based on historical data and real-time market conditions. Here's how S/4HANA integrates machine learning algorithms into inventory management, with specific examples: 1. Demand Pattern Prediction: Example: S/4HANA can analyze historical sales … Continue reading SAP S/4HANA intelligent Inventory Management

Artificial Intelligence (AI), Machine Learning(ML) & Business Benefits of ML in SAP S/4HANA Inventory Management

Hi, Starting a new series : Machine Learning in S/4HANA. This is first of the Blogs. Hope you enjoy the learning as much as I intend to do from the learning. So let's start with the basics : What is AI? What is Machine Learning? Artificial Intelligence (AI) & Machine Learning (ML) Artificial Intelligence (AI) … Continue reading Artificial Intelligence (AI), Machine Learning(ML) & Business Benefits of ML in SAP S/4HANA Inventory Management