Introduction
The upstream oil and gas supply chain is entering a decisive phase of transformation. As operations become more geographically dispersed, capital intensive, and exposed to volatility, traditional supply chain models—built on fragmented data, manual planning, and reactive decision making—are no longer sufficient. Supply chain resilience has emerged as a board level priority, alongside cost, uptime, and sustainability.
Transforming Oil & Gas Supply Chain: Turning Complexity into Control presents a new paradigm—one that leverages AI, Small Language Models (SLMs), and agentic automation to convert complex, siloed upstream supply ecosystems into predictive, intelligent, and increasingly autonomous supply chains.
Read the Point of View to
