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How do we prioritize deployment of Agentic AI in Supply Chain?
Agentic AI is gaining ground in Supply Chain use cases. We have multiple options to deploy them in various processes. Many of these will result in only moderate benefits, whereas a few of them will give extraordinary benefits. How should we prioritize their deployment?
TOC framework comes in handy to identify these vital few cases. We know that every complex system has a few leverage points, where a small improvement has a magnifying impact on the overall system performance. These are the system constraint, plant bottlenecks and the process bottlenecks.
CPG companies are moving their supply chain design and operations to demand driven. Their distribution system is now replenishment-based, where size of inventory buffers act as a clear leverage point. It has a major impact in reducing stockouts and improving product freshness.
AI agents which sense demand, check buffer adequacy and recommend adjustments would be a great use case for deployment. The benefits are way beyond expectations!
Let’s connect if you are interested in pursuing it…