AI Specialist for Supply Chain Management

Course overview

AI specialists for Supply Chain Management utilize AI for the strategic management of supply chains: predicting demand, sizing inventories, and assessing risks in the supply network. The training focuses on the planning and control level of the supply chain, in contrast to the operational logistics handling of warehousing and transportation processes, which constitutes a separate area of responsibility. The supply chain as a planning task - Levels of supply chain planning from sales to inventory to procurement - Conflicts of objectives between delivery capability, capital commitment, and costs - Data basis for planning: sales history, order backlog, delivery times Demand and sales planning with AI Good forecasts are the greatest lever in supply chain planning. - Deriving sales forecasts from history, seasonality, and special effects - Measuring forecast quality and recognizing systematic deviations - Coordinating planning results with sales and production Managing inventories and procurement - Data-based verification of safety stocks and reorder points - Early visibility of ranges and bottlenecks - Calculating scenarios: impacts of changes in delivery times and demand Risks in the supply network Disruptions rarely hit supply chains where one looks. - Structurally capturing and assessing supplier and country risks - Evaluating market signals and reports with AI support - Preparing and prioritizing action options in case of bottlenecks Collaboration and responsibility - Organizing planning cycles with sales, purchasing, and production - Preparing decision templates from planning data in an understandable manner - Communicating the limits of forecasts instead of creating false security - Data protection and confidentiality regarding supplier and customer data Data basis for supply chain planning Planning quality begins with data work. - Maintaining master data on articles, suppliers, and replenishment times - Merging movement data from order and inventory management - Identifying data gaps and clarifying collection methods with the specialist departments - Leading key figures such as delivery reliability, range, and forecast quality over time - Preparing escalation rounds in case of bottlenecks with reliable numbers - Transferring insights from disruptions into planning rules - Collaborating with key suppliers through shared planning information - Tracking initiated measures until measurable effects are achieved Participants learn to perform the planning and control tasks of supply chain management more precisely, quickly, and robustly with AI support.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer