DDS Pythia, S.L.

It is an advanced analytics tool designed to optimise energy consumption and improve risk management and strategic decision-making in industrial automotive plants. It combines causal, predictive and prescriptive analytics to offer a scalable and accurate approach to the digital transformation of industrial operations. Thanks to its scenario simulation capabilities based on real KPI data, PYTHIA provides a clear and forward-looking view of the impact that various variables have on processes and energy consumption in real time. Our goal is to drive more efficient, sustainable and profitable operations through informed, data-driven decisions.

Use Cases:

1. Optimisation of energy consumption based on real data in an Automotive Plant.
Simulation of multivariable scenarios, where PYTHIA analyses how different factors (such as production, quality or energy consumption) relate to each other to identify the best operational scenario in the plant.
In this success story, PYTHIA analysed critical variables such as plant production, number of models, quality, energy consumed and temperatures to model energy efficiency scenarios in real time.
Through predictive analysis and simulation of different scenarios, the tool identified hidden patterns and specific recommendations to optimise electricity and heat consumption in the production process, dynamically adjusting to operating conditions.
The result: reduced energy costs, improved sustainability and greater capacity for anticipation in industrial decision-making.

2. Energy optimisation in an automotive plant.
In an industrial plant in the automotive sector, PYTHIA analyses the relationship between energy consumption (electricity and heat) and the production variables in the bodywork, painting and assembly lines.
Thanks to the advanced modelling of correlations and the simulation of scenarios, PYTHIA makes it possible to identify hidden patterns, optimise energy use and reduce operating costs, while maintaining production efficiency.