The ground-breaking AI will help energy buyers with reporting, market analysis and decision making.
LAUSANNE – May 9, 2023 – Datapred, the integrated online software for energy buyers, today announced new reporting, market analysis and decision support capabilities based on OpenAI’s large language model.
Increased energy market volatility and uncertainty has created significant challenges for industrial energy buyers — especially since most of them still rely on spreadsheets for reporting, market analysis and decision support.
With early access to GPT-4, Datapred has successfully transformed the analyses, forecasts, reports and simulations generated by its proprietary modeling engine — and based on tens of continuous data streams — into plain paragraphs that can be easily understood and shared.
This represents a quantum productivity leap for energy buyers who, by using natural language prompts, can significantly reduce the amount of time spent analyzing and interpreting data, and make more informed decisions.
This is a very exciting development for energy buyers” said Nicolas Mahler, co-founder of Datapred. “Starting from Datapred’s unique analyses, forecasts, reports and simulations, they will now leverage the power of GPT-4 to generate the corresponding narratives. and boost their buying and hedging decisions.”
Datapred will first apply these new capabilities to energy market analyses and forecasts, then to energy procurement reports (buying and hedging transactions, coverage ratios, profit and loss calculations), and finally to the software’s optimization features.
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About Datapred
Founded in 2015 and based in Lausanne, Switzerland, Datapred is an integrated online software for energy buyers, helping them with reporting and market awareness, and providing powerful decision support. Connections to external and internal data sources, as well as powerful analysis, prediction and optimization models, ensure that buying decisions are consistent with both market and operational conditions.
Additional Information
For additional information on Datapred, or a discussion of how these new capabilities could help you, please visit: