Descartes Labs helps agriculture industry leaders monitor and respond to events in the supply chain with greater speed. We build quant price forecasting models and provide a geospatial analytics platform for custom signal development.
Leverage our solution to:
- Generate consistent alpha through price prediction
- Forecast product supply and demand months ahead
- Monitor deforestation and carbon emissions in your supply chain
- Track crop health and agricultural practices that promote sustainability
Forecasting Commodity Prices with Geospatial Insights
As commodity trading increasingly relies on new and alternative sources of data, agriculture businesses need to incorporate new technologies to stay ahead of the curve and outperform their competitors.
Using remote sensing, machine learning, and statistics we combined spatial and non-spatial data to provide a holistic view of a customer's commodity supply chain. By combining their institutional knowledge with our diverse data, we were able to quantify seemingly unrelated market factors into a set of recommended profitable actions.
As a result, they rely on the predictions derived from our models to optimize their trading strategies. The work done by our platform to accurately collect, clean, and process geospatial data reduced the skills and cost necessary to bring world class geospatial analytics in house.