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. It’s not a replacement of classic MRP Live (MD01N), but rather a strategic, scenario-based planning tool. 🔑 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 – Part 3

Let's map the AI features (explained in Part1 and Part2) into a ready-to-use “Inventory Provision Process Flow” in S/4HANA showing exact FIORI Apps and transactions for each AI Step Here’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 – 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 isn’t a single packaged feature called “Inventory Provision with AI”, 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