Smart Factory Logistics: AI-Powered Planning for Supply Chain Efficiency

Explore how AI transforms logistics, procurement, and factory inventory by enabling smarter demand forecasting, dynamic replenishment, and supplier risk scoring. Ideal for supply chain professionals in fast-paced manufacturing settings.

Course Description:

This 2-day course introduces supply chain and factory logistics professionals to the practical use of AI in demand forecasting, inventory optimization, material flow, and supplier coordination. Participants will explore how AI can help reduce lead times, minimize stockouts and overstock, and improve responsiveness across the entire supply chain.

Through live simulations, case studies, and tool walkthroughs, attendees will build foundational knowledge and hands-on skills to implement AI-powered improvements—without needing to write code or implement large IT systems.

Who Should Attend:

• Supply Chain Managers
• Factory Logistics & Warehouse Supervisors
• Procurement and Inventory Planners
• Materials Management Professionals
• Operations and Planning Coordinators

Course Objectives:

Knowledge Acquisition:

• Understand how AI supports planning, forecasting, and logistics in manufacturing
• Learn about machine learning in demand forecasting and inventory control
• Discover how AI uses supplier, production, and delivery data to optimize decisions
• Recognize integration touchpoints between AI tools and ERP/SCM systems

Skills Development:

• Interpret AI-generated demand forecasts and inventory insights
• Segment SKUs based on behavior, volatility, and importance
• Create supplier performance dashboards using predictive indicators
• Simulate reorder points and safety stock levels using AI tools

Practical Application:

• Build a basic demand forecasting model using sample order data
• Analyze lead time variability and simulate planning buffers
• Prioritize suppliers based on performance risk scoring
• Create a phased implementation plan for AI in warehouse or plant logistics

What will I Learn From it:

• Forecast demand more accurately and react faster to volatility
• Prevent overstock and stockouts using predictive inventory tools
• Reduce excess safety stock while improving service levels
• Improve vendor coordination with AI-driven performance tracking
• Align supply chain planning with production priorities more effectively

Training Methodology

• Scenario-Based Simulations: Forecasting, inventory planning, and supply risk
• Tool Demos: Predictive dashboards and demand planning apps
• Group Exercises: Material flow mapping, supplier risk profiling
• Capstone Planning: Create a customized implementation blueprint
• Visual Dashboards: Analytics that support operational decisions

Requirement/
pre-requisites:

• Familiarity with supply chain or factory logistics operations
• Understanding of basic KPIs (lead time, stock levels, OTIF, etc.)
• No AI or programming background required
• Laptop with Excel or browser access