Supply chain processes operate on inconsistent and incomplete enterprise and supplier data across disparate function-oriented rules-based systems.
Goals and Objectives
AI-enabled supply chain systems and processes employ data throughout the networked enterprise so that the supply chain learns, adapts, and operates at the optimal mix of system-driven, autonomic, exception-driven, and context-aware decisioning to meet operational objectives and inform the customer.
Cloud, industry cloud, machine learning (ML), unstructured data reasoning, other AI technologies, prescriptive analytics, IoT, intelligent assistants, and multicloud management
Use Case Summary
Supply chain forecasting and planning achieves order orchestration in view of the customer, supplier, and brand.