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Since 2002, the preeminent supply chain research and advisory firm.

ChainLink Research provides objective and insightful supply chain research and advice, focused on cross-functional and inter-enterprise processes.

  • Innovative prescient supply chain and IoT thought leadership
  • Largest complementary supply chain library of original research
  • Depth and breadth of practical insights and advanced practices
  • Cross-functional, cross-domain, inter-enterprise knowledge
  • 20-year reputation for the smartest, highest integrity team

Recent Original ChainLink Research Articles

Direct Materials P2P — Part Three: Receiving, Invoicing, Payment

Direct Materials P2P — Part Three: Receiving, Invoicing, Payment

15 Nov 2022

( This article is an updated excerpt from the report: “Spotlight on Direct Materials Procure-to-Pay” available for download here. ) Direct Materials P2P — Article Series Introduction/P2P Stages Relationship-Intensity Receiving, Invoicing, Payment (this article) Survey Findings Solutions Landscape…

Supply Chain Networks Revealed — Part 2C: Autonomous Supply Chain Networks

Supply Chain Networks Revealed — Part 2C: Autonomous Supply Chain Networks

15 Nov 2022

In Part 2B, we looked at integration, how the networks can be extended, and a comparison of enterprise applications vs. integrator networks vs. Real-time SVoT networks. Here in the final installment of this series, we explore…

Freshness Wars — Part Three: Leveraging the Cloud to Improve Freshness

Freshness Wars — Part Three: Leveraging the Cloud to Improve Freshness

15 Nov 2022

In Part Two of this series, we examined why maintaining freshness of produce and other fresh foods throughout the supply chain is so challenging and how some of these challenges can be solved using RFID…

Direct Materials P2P — Part Two: Relationship-Intensity

Direct Materials P2P — Part Two: Relationship-Intensity

13 Oct 2022

( This article is an updated excerpt from the report: “Spotlight on Direct Materials Procure-to-Pay” available for download here. ) Direct Materials P2P — Article Series Introduction/P2P Stages Relationship-Intensity (this article) Receiving, Invoicing, Payment Survey…

Logistics
Demand Management
Sourcing & Procurement
Supply Chain Risk Management
Distribution, Delivery
Sustainability, Responsibility, Compliance
IoT, RFID
AI/ML in Supply Chain
Technology Assessment & Adoption
Performance Management

Focus Industries

High Tech
CPG
Retail
Logistics
Defense
Pharma/Medical Device
Industrial
Food & Agriculture
Process Manufacturing
Healthcare
Thought Leadership Content
Market Discovery
Custom Research & Strategy
Messaging & Positioning
Pricing Models
ROI Models
Partnership & Acquisitions
Supply Chain Consulting

Reports from ChainLink’s Own original research

Oct 1, 2020

Agile Demand-Supply Alignment – Part One: ADSA Elements and Examples

Agile Demand-Supply Alignment – Part One: ADSA Elements and Examples
This report lays out a framework for understanding the elements of ADSA (Agile Demand-Supply Alignment) throughout the phases of supply chain planning and execution.
May 1, 2019

Geospatial Intelligence – Powering the Next Wave of Supply Chain Performance

Geospatial Intelligence – Powering the Next Wave of Supply Chain Performance
Our research on using geospatial data and systems to make supply chains more competitive. How to build and maintain a precise, detailed, up-to-date view of supply chains. Applications of geospatial intelligence in logistics, distribution, asset management, supply chain risk, service management. and sustainability.
Aug 7, 2019

Supply Chain Networks Revealed: Part One – What They Do

Supply Chain Networks Revealed: Part One – What They Do
Multi-party supply chains require multi-party networked platforms. Here we describe the architectural requirements and how supply chain network platforms actually work.
Mar 1, 2023

The Value of Foresight: Generating Value Through Integrated Predictive Maintenance

The Value of Foresight: Generating Value Through Integrated Predictive Maintenance
A holistic, integrated approach to predictive maintenance incorporates data, systems, and human expertise from various functions including engineering, manufacturing, field service, logistics, supply chain, HR, finance, and maintenance.

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