The Brief – April 2021

Abstract

Multi-enterprise Network Architecture, Supply Chain Challenges AI/ML Can Solve, Supply Chain Orchestration: Multi-Tier Relationships

Best practices, technology, and new takes on critical business topics from ChainLink Research

Thursday, April 15, 2021 – Published once each month.

We cover required characteristics of a multi-enterprise network architecture, such as a shared single version of the truth, multi-enterprise master data management, security, process flows, and an integrated network of trading partners. We also delve into the differences between a ‘Visibility-only Control Tower’ vs. a ‘Supply Chain Application Network.’ [ Read: Agile Demand-Supply Alignment — Part 2C ]


AI for Supply Chain: Debunking the Myths — Part One: Supply Chain Challenges AI/ML Can Help Solve

Thursday, April 15, 2021

Previously intractable challenges that supply chain professionals have been grappling with for decades are now within reach using AI/ML. These include fixing new product introductions, stock-outs, optimizing inbound through outbound fulfillment, and improving profit margins. [ Read: AI for Supply Chain: Debunking the Myths — Part One ]


Supply Chain Orchestration: Multi-tier Relationships

Thursday, April 15, 2021

For some companies, managing only their immediate suppliers is not sufficient. Brand owners whose reputation and competitiveness is on the line for the performance and social compliance of the whole chain are increasingly taking on the role of Supply Chain Orchestrator, coordinating key activities across multiple tiers of their supply chain. [ Read: Supply Chain Orchestration: Multi-tier Relationships ]

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