Forecasts prices, cracks and demand from market, shipping and satellite data
- Who we serve
- Private Sector
- Category
- Energy, utilities & resources
- Value
- Revenue
- Human role
- Human approves every decision
- Maturity
The problem
Without crude & product price and demand forecasting, teams in trading & supply make these calls on averages and instinct, because market data, shipping, satellites are not joined up, and the value in the data goes uncaptured.
How it works
Crude & product price and demand forecasting forecasts prices, cracks and demand from market, shipping and satellite data. The approach relies on ML forecasting. It draws on market data, shipping, satellites and is typically owned by teams in trading & supply. The main constraint is model risk; market-conduct rules. Where the human comes in: traders decide positions. It is scaled at leading organisations and piloted elsewhere; examples include Trading houses; majors' trading arms.
Where the human comes in
Traders decide positions
What it needs
Market data, shipping, satellites
What to plan for
Model risk; market-conduct rules
In the field
Trading houses; majors' trading arms
Public deployments by other organizations, listed for context. Not Sphere projects.