In supply chain optimization, the decision space is too large for GenAI alone.
GenAI is a revolutionary technology. But its stochastic nature puts it in conflict with the deterministic requirements of supply chain models.
Yet, it yields enormous value when combined with Mathematical Optimization and Reinforcement Learning within a reliable framework.
In this white paper, written in collaboration with Principal Data Scientist Alan McCord, Coupa outlines a grounded, scalable approach to AI in supply chain design and planning.
Get an inside look at the white paper [2 min]
You’ll learn:
- Why GenAI can’t handle high-complexity supply chain decisions on its own
- How Coupa’s patent-pending hallucination mitigation addresses GenAI’s math limitations
- How Coupa Navi™ uses AI agents to deliver accurate and explainable results
- How Coupa blends AI and domain expertise to empower decision-makers at every level
If you’re evaluating AI tools or building your AI strategy, this paper is your roadmap to separating hype from hope – and unlocking real value through intelligent, and intelligible automation.
