SAP AI for MM Consultants: Joule & Intelligent Procurement

SAP AI for MM Consultants: Joule & Intelligent Procurement
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 1h 12m | Size: 316.97 MB

SAP Business AI, Joule and AI agents for purchase requisitions, POs, supplier confirmations and P2P exceptions

What you'll learn
Explain how SAP Business AI, Joule, embedded AI and AI agents relate to SAP MM and procurement processes
Recognise navigational, informational, transactional, predictive and agent-style AI patterns in MM scenarios
Identify which SAP MM activities are strong or weak candidates for AI assistance
Assess master-data and transactional-data readiness before proposing an AI-enabled MM scenario
Describe AI opportunities across requisitions, purchase orders, approvals, confirmations, inventory and P2P
Build an AI opportunity map using business value, process volume, data readiness, risk and dependency
Structure use cases as current process, pain point, AI assistance, human control and measurable outcome
Define human oversight, procurement controls, validation and governance for AI-assisted MM processes
Evaluate value using cycle time, buyer effort, exception rate, stock availability and supplier responsiveness
Prepare a narrow, low-risk AI pilot with a baseline your customer can actually measure

Requirements
Working knowledge of SAP MM or S/4HANA Sourcing and Procurement processes
No programming, AI development or data science knowledge is needed
No access to a live SAP system is required — this is a theory-based course
No prior experience with Joule or SAP Business AI is assumed
A notepad for capturing AI opportunities in your own customer landscape

Description
Customers have stopped asking whether AI belongs in procurement. They now walk into workshops and say "we want AI in our purchasing process" — and they expect their SAP MM consultant to know what to ask next. That sentence is an ambition, not a project. Turning it into something a business can fund, control and measure is now part of the functional consultant's job.

This course is built for people who already understand purchasing, inventory and the SAP Materials Management world, and who now want to understand what SAP Business AI, Joule and agent-based capabilities actually change in that world. It works the way an experienced consultant works: start from the business process, find where users lose time, understand what SAP can do today, separate that honestly from design opportunity or roadmap, and connect every idea to controls and measurable value.

It is not an AI theory course. There are no neural networks, no model training, no architecture diagrams. It is not a configuration course either. You do not need programming skills, AI development knowledge, or access to a live SAP system. What you need is MM process understanding — and the willingness to say "this capability exists in supported SAP scenarios; now let us validate whether it applies to your landscape."

One company, Meridian Industrial, runs through all ten lectures — a manufacturer on SAP S/4HANA with hundreds of suppliers, orders sitting in approval, late supplier confirmations, blocked invoices and master data that is not as clean as everyone wishes.

Throughout the course you will learn

• How SAP Business AI, Joule, embedded AI and AI agents relate to MM and procurement processes

• The difference between navigational, informational, transactional, predictive and agent-style patterns — and which one a business problem actually needs

• The five opportunity signals — searching, checking, chasing, explaining and investigating

• Which MM activities are strong AI candidates and which should stay human-led

• How to assess master-data and transactional-data readiness before promising anything

• Documented Joule procurement patterns: requisition creation, purchase orders awaiting approval, draft reminders, delivery-date updates and supplier confirmations

• Predictive scenarios such as purchase-order delivery-date prediction and contract quantity consumption

• Supplier and spend insight — and where the boundary between core MM and broader SAP procurement solutions sits

• AI for inventory, shortage prioritisation and supply exceptions, and why it complements MRP rather than replacing it

• Procure-to-Pay exception investigation and three-way match: quantity differences, price differences and missing goods receipts

• Five client-ready use cases structured as current process, pain point, AI assistance, human control and measurable outcome

• A four-level governance model — inform, recommend, prepare, execute within defined authority

• How to design a narrow pilot with a real baseline, and measure approval waiting time, buyer effort, confirmation coverage and exception resolution time

By the end, you will be able to sit with a procurement lead, buyer, planner or project manager and have a useful conversation about where AI helps — without overselling it. You will be able to build an AI opportunity map, define where human judgement must remain, and turn "we want AI in procurement" into a scoped, controlled, measurable use case.

Who this course is for
SAP MM consultants
SAP S/4HANA Sourcing and Procurement consultants
SAP functional consultants moving into AI conversations
Procurement business analysts
Solution architects working on procurement landscapes
Presales consultants positioning SAP Business AI
Procurement and purchasing managers
Buyers and operational purchasing professionals
Materials planners and inventory specialists
Project managers running S/4HANA procurement projects
SAP consultants preparing for AI-led customer workshops

Homepage

https://www.udemy.com/course/sap-ai-for-mm-consultants/

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