The article suggests that enterprise leaders are focusing on increasing the use of AI (ROI) to scale solutions that deliver proven value rather than just the speed of adoption. The author suggests that large language models (LLMs) are expanding capabilities with better data, enabling them to apply these capabilities to more complex problems across the supply chain. Companies will increasingly adopt models that are specifically trained on specific supply chain data and use cases, driven by post-training model tuning. These models will power expert supply chain models to solve complex problems, with agents being given greater autonomy to solve more complex issues. Agents will also use a global context to operate in a global business business model. The article also suggests that agents will be used to monitor volatile environments, anticipate demand surges, and respond quickly with optimized resources. Agentic commerce is a $5 trillion opportunity to revolutionise the way people shop, with the launch of OpenAI’s Agentic Commerce Protocol and Google and Shopify's Universal Commerce Protocol.