Introduction

o Welcome and Overview of Business Central Supply Chain Modules

o Exploring the Potential of AI in Supply Chain Management

Session 1: Overview of AI in Business Central

o Understanding AI Capabilities in Business Central

o Review of AI’s Impact on Supply Chain Processes

Session 2: Demand Forecasting

o Leveraging AI for Accurate Demand Forecasting

o Integrating Forecasting Insights with Inventory Management

Session 3: Intelligent Inventory Management

o Using AI to Optimize Inventory Levels

o Reducing Carrying Costs and Enhancing Availability

Session 4: Predictive Maintenance for Supply Chain Assets

o Implementing AI-Driven Predictive Maintenance

o Maximizing Asset Reliability and Performance

Session 5: Vendor Management and Procurement

o Utilizing AI to Enhance Supplier Relationships

o Ensuring Optimal Procurement Strategies with AI Insights

Session 6: Anomaly Detection and Risk Management

o Employing AI to Identify and Mitigate Risks

o Ensuring Supply Chain Resilience with AI-driven Insights

Session 7: Real-Time Data Analysis and Reporting

o Utilizing AI-Powered Analytics for Data-Driven Decision Making

o Gaining Actionable Insights for Continuous Improvement

Implementing AI in Supply Chain Management with Business Central revolutionizes traditional operations, turning challenges into opportunities for growth and efficiency. AI enhances demand forecasting, inventory management, asset maintenance, and risk management, contributing to a resilient, agile, and optimized supply chain. By harnessing AI’s power, businesses can make data-driven decisions, improve operational efficiency, reduce costs, and elevate customer satisfaction, driving sustained growth and competitive advantage in the marketplace.