AI is being discussed, analyzed, and explored everywhere these days. Yet, it’s still rare to see AI-based software for commodity traders that features full-scale AI capabilities and is already in production with major international firms. Recently, I saw a demo of Darling Analytics, a solution that delivers a full-service vertical AI agent and advanced analytics for the commodities and shipping industries. It processes real-time market information, satellite data, vessel route information, and more and presents it to users through a graphical dashboard. Its analytics capabilities include freight density analysis, predictive models for price forecasting across markets, assessments of market drivers, and trading decision support. Users can also back test trading strategies, track commercial vessels, analyze port congestion, predict waiting times, and much more. What truly sets this system apart is its natural language interface. Traders can interact with the platform through chat, and it responds with detailed answers and visualizations. It’s a large language model (LLM) tailored specifically to the needs of commodity traders, integrating all relevant data feeds for both traders and operators. Ignacio Hidalgo, CEO and co-founder of Darling Analytics, shared that the company was founded a year ago as a joint effort between himself & Findli.ai, a… continue reading