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
The goals of this use case include analyzing the trends to understand department consumption patterns, item consumption patterns, and supplier commodity procurement. Intelligent supply chain systems integrate data and insight from across the enterprise and partner networks to continuously learn and adapt — linking price promotion and demand, identifying risks, and automatically adjusting supply forecasts and actions to respond.
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.