In supply chain, predicting disruptions before they occur and handling them in an optimized manner when they do occur, is a game changer. An AI-enabled decision intelligence platform can optimally manage disruptions when and before they occur so you can be ready for the unexpected. Learn about some of the use cases that InterSystems Supply Chain Orchestrator can address to help you manage the unexpected.
Increased capabilities in supply chain management and decision intelligence tools, along with complex tech stacks, have put a premium on the ability to integrate, synthesize, and use disparate data for faster transformations and long-living business benefits.
A new category of supply chain data fabrics is emerging to meet the unique needs of large businesses with complex supply chain processes. These new data fabrics must go beyond traditional enterprise data fabrics, which are not optimized for supply chain environments. These new platforms need to e able to embrace intricate supply chain data, real-time alerting, and complex decision-support tradeoffs. Such a platform is needed to allow companies to truly support agile business execution.
This article from UK Analyst Bloor Research recognises the capabilities and advantages of InterSystems IRIS data platform as an "innovative and powerful data management platform" and it’s Smart Data Fabric capabilities offering a market differentiator.
Increasing operational costs, labor shortages, and geopolitical tensions are keenly felt by supply chain organizations and highlight the importance of fast, informed decision-making.
In today’s global marketplace, supply chain management plays a pivotal role in the success of businesses across various industries and, with the increasing complexity and interconnectedness of supply chain networks, the demand for efficient and effective solutions continues to rise.
In this interview with SupplyChainBrain, Mark Holmes, senior advisor for supply chain with InterSystems, lays out the multiple challenges that manufacturers face in optimizing their repackaging processes, and proposes some solutions for addressing those hurdles.