AI IN PROCUREMENT
Jeff outlines how this reshaped how the company works:“ In the depths of that crisis, our supply chain team dug in and rose to the challenge. The process taught us many things, but foremost among them was the undeniable need for deeper insights into our vulnerabilities and a stronger capability to anticipate, mitigate and respond to disruptions effectively.”
General Motors has formed a digital supply chain toolset to anticipate and swiftly react to both disruptions for itself and suppliers. These include:
• Risk Intelligence: Using the power of AI and machine learning, this tool classifies, summarises and tags thousands of daily public posts to anticipate risk in GM’ s supply chain, such as natural disasters or other disruptions.
• SupplyHealth: With the cooperation of supply partners, this tool monitors thousands of sites to detect and flag high-risk situations so the team can take action before an issue escalates.
• SupplyMap: Collects data from thousands of suppliers around the world, ranging from direct suppliers to the many levels that feed into them. It uses this data to compile a detailed, map-based view of the network, increasing visibility and understanding of where risks may occur.
• SupplyAlert: A centralised communications platform activated once a risk has been identified. This tool combs through internal data and flags key risks to team members who can take pre-emptive action.
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