What
The AI Supply Chain Observatory (AISCO) is an initiative focused on integrating artificial intelligence into supply chain management to enhance efficiency and resilience. AISCO aims to identify early warning indicators and root causes of supply chain disruptions, offering a platform for practitioners to share best practices and solutions. The observatory targets systemic risks including panic-buying, bullwhip effects, event-driven supply shocks, market volatility, AI-facilitated price arbitrage, and Black Swan events.
Who
Project leads Amanda Schochet and Edmund Zagorin.
Where & When
?
Why
AISCO’s mission is to improve the collective capacity to respond to disruptions, thereby strengthening supply chain resiliency against a backdrop of increasing technological integration.
How
Key Principles
- Systemic Risk Identification: Focusing on the broader impacts of AI integration into supply chains, including potential for exacerbated market behaviors and disruptions.
- Collaborative Problem-Solving: Encouraging a collaborative approach to innovation in supply chain resilience, drawing on a wide range of expertise from industry, academia, and government.
- Open Innovation: Leveraging open-source principles to foster a shared platform for scenario planning, risk assessment, and resilience strategies.
Functions
- Cancer Drug Shortage Hackathon: A flagship initiative where teams utilize AI to propose solutions to the US cancer drug shortage, highlighting the potential of AI to tackle specific supply chain vulnerabilities.
- Commerce Data Monitoring & Early Warning System: Using public data to monitor market indicators for sudden disruptions, aiming to preemptively address potential crises in critical supply areas.
- Open Source Supply Chain Resiliency & Scenario Planning: Providing an open platform for the identification of vulnerabilities and the development of comprehensive resilience strategies.