
Supply Chain Disruptions: A Digital Transformation Guide
Eight practical tips for strengthening supply chain planning strategies to recover faster from disruptions and prepare for future events.
This guide outlines how companies can use digital transformation to improve resilience against supply chain disruptions. It covers data management, demand sensing, multi-echelon inventory optimization, integrated business planning, and the application of AI and machine learning. The content emphasizes visibility, advanced analytics, and agile decision-making to maintain performance during and after recessions or other shocks.
Clean, consistent, and current supply chain data is required for timely decisions and must be owned by the supply chain team.
A supply chain digital twin enables near real-time visibility and supports what-if scenario analysis for faster responses.
Demand sensing improves forecast accuracy and replenishment by incorporating near real-time downstream signals.
Multi-echelon inventory optimization reduces inventory costs while maintaining or improving service levels during disruptions.
Integrated business planning combined with AI and machine learning increases the ability to detect issues early and automate responses.