It has an eclectic mix of vendor tools, both on premises and in the cloud, many of which do not integrate well creating excessive latency and poor end-to-end (E2E) decision making.
Goals and Objectives
Supply chain leaders understand what their experience and the lessons of recent years are telling them and are in search of the connective tissue to synthesize internal data with data coming from upstream and downstream sources along the supply chain in a true end-to-end solution that optimizes decisions and supports resiliency.
Software: Cloud, Big Data/analytics, and cognitive
Services: Business consulting and IT services
Use Case Summary
Organizations embracing digital fabric will benefit from platforms that synthesize data (live and historical) from disparate sources such as a TMS, OMS, WMS, or YMS with that coming from supply chain/logistics partners, enterprise systems, and external databases.