Supply chain processes operate on latent, inconsistent, and incomplete structured enterprise and supplier data across disparate function-oriented rules-based management and optimization systems.
Goals and Objectives
Cognitive-enabling supply chain systems and processes that ingest and reason through enterprise, network, and worldhood data so that a complex global supply chain continuously learns, adapts, and operates at the optimal mix of system-driven autonomic and exception-driven, context-aware knowledge-worker decisioning within an optimized cadence of network reconfigurations and executed transactions to meet operational objectives and resiliency goals.
Cloud, industry cloud, machine learning, unstructured data reasoning, and other AI technologies, prescriptive analytics, IoT, and intelligent assistants.
Use Case Summary
Achieve optimal cadence of adaptive network redesign and agile order orchestration in view of enterprise, supplier, carrier, market, and geo-political conditions.