Commodity market intelligence

Kpler tracks real-time global commodity cargo and supply movements by combining satellite AIS vessel tracking, port and terminal intelligence, customs and shipping data, pipeline flows, and proprietary analytics. These data streams are continuously processed with machine learning models and expert validation to provide near real-time visibility into cargo locations, trade routes, loading and discharge events, and supply chain disruptions across global commodity markets.

Kpler’s commodity forecasts are widely regarded as more timely and granular than traditional market intelligence tools because they are grounded in real-time physical flow data rather than delayed surveys or self-reported statistics. By leveraging satellite tracking, live inventory monitoring, and advanced predictive models, Kpler delivers forward-looking insights that often identify market shifts earlier than conventional reporting-based forecasts.

Kpler helps anticipate price fluctuations by linking real-time supply, demand, inventory, and trade flow data with market fundamentals. Users can detect imbalances such as tightening inventories, unexpected export surges, supply outages, or demand slowdowns - key drivers of price volatility in crude oil, refined products, LNG, natural gas, and coal markets.

Kpler provides deep insights into global commodity supply and demand by tracking production, exports, imports, inventories, consumption trends, and trade flows at country, regional, and asset levels. This enables users to understand where supply is increasing or tightening, how demand is evolving, and how geopolitical events, weather, or infrastructure constraints impact global commodity balances.

Kpler’s platform is powered by a wide range of proprietary and third-party data sources, including satellite AIS data, satellite imagery, port and terminal data, customs and shipping records, pipeline and storage information, government statistics, company disclosures, and on-the-ground intelligence. These inputs are enhanced by machine learning algorithms and expert analyst validation to ensure high accuracy and consistency.

Kpler covers a broad range of commodities including crude oil, refined products, LNG, natural gas, coal, petrochemicals, agricultural commodities, dry bulk, and power markets. Its insights serve multiple sectors such as energy trading, shipping and logistics, commodity producers, refiners, utilities, financial institutions, governments, and risk management teams operating across global markets.