The imperative has never been greater for traditional market participants to keep up with alternative data and algorithmic trading. Discover how proprietary geospatial data can be used to enhance machine and human intelligence for data-driven trading and procurement. We make our forecasts operational, driving customer ROI by:
- Providing daily trade strategy actions to merchants, optimized for optimal profit, drawdown or various other performance metrics
- Designing smart procurement or hedging programs for firms procuring raw commodities, mitigating the impact of price volatility and achieving optimal savings
- Customizations specific to client business needs and risk profile
- Full model and strategy transparency; no black boxes
Delivering ROI with an improved sugar forecasting model
Descartes Labs recently worked with a large CPG client to reduce purchasing costs across $300 million of annual sugar spend. Our goal was to create a systematic approach to sugar purchasing that would enable reliable long-term savings over a heuristic purchasing strategy.
We leveraged publicly available macro data to create a systematic approach to predicting price movements along with fundamental remote sensing and geospatial data to fill gaps in market information around physical events that impact sugar price.
By creating a robust ICE Sugar futures price model that quantified anomalies from weather, supply, demand, price, volume, energy, and more, we were able to deliver more than 2.5% annual savings using a more accurate sugar price forecast.
Customized for your unique needs
Art of the possible
We analyze multimodal data streams to quantify market forces and systematically recommend profitable purchasing or trading actions.