Illuminate
Enhancing Supply Network Resilience
Using augmented intelligence and machine learning, organizations can rapidly and autonomously gain visibility into their multi-tier supply networks, sense risks and mitigate them to minimize disruption.
Autonomously illuminating multi-tier supply networks and sensing risks to minimize disruption
Supply networks have become highly sophisticated and vital to organizational competitiveness. These networks are becoming increasingly dis-aggregated and specialized due to the effects of globalization and increasing technological complexity.
The global and specialized nature of supply networks exposes them to vulnerabilities, with many of these vulnerabilities stemming from deep within the network beyond direct tier 1 suppliers. However, most organizations only deal with direct tier 1 suppliers and have limited multi-tier supply network visibility.
Limited multi-tier visibility of suppliers beyond tier 1 makes it difficult for organizations to effectively manage risk and build resilience of supply.
How can organizations increase visibility of their multi-tier supply networks, sense risks and mitigate them in a timely manner to minimize disruption?
Our Approach
Using augmented intelligence and machine learning, Deloitte uses a proven three step methodology to help organizations autonomously and rapidly model their multi-tier supply networks, sense risks, and identify actionable insights to minimize disruption.
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