AI-optimized portfolio
The procurement portfolio is automatically aligned with RAG's risk preferences and broken down with measurable savings.

Case study · RAG Aktiengesellschaft
RAG works with avoltra to digitalize and optimize its energy procurement processes. With AI-based forecasts, automated simulations and strategic purchasing timing, RAG can achieve measurable savings on an annual consumption of 250 GWh while strengthening security of supply.
GWh annual energy consumption
savings potential
About RAG
RAG Aktiengesellschaft, headquartered in Essen, today handles so-called perpetual obligations such as mine water management, groundwater treatment and the renaturation of former mining areas. High energy demand, distributed sites and long-term commitments make precise, strategic energy procurement business-critical for RAG. Professional energy purchasing is a central lever for cost optimization, risk reduction and security of supply.
Challenges in energy procurement
Laborious forecasts: demand, own generation and PPAs had to be planned manually over long periods.
Strategic uncertainty: the right balance between price optimization and risk hedging was hard to determine.
Complex scenarios: market price developments, hedging strategies and PPA options could only be simulated laboriously in Excel.
Results achieved with avoltra
The procurement portfolio is automatically aligned with RAG's risk preferences and broken down with measurable savings.
Forecasts and risk analyses show when market opportunities can be used optimally for the RAG portfolio.
Scenarios such as hedging strategies or PPA options can be created in seconds instead of with major Excel effort.

„With avoltra we are on track to realize 7 % in annual savings on around 250 GWh of electricity consumption through optimized energy procurement.“
Constantin Blanck
Energy Specialist, RAG AG
Outlook
RAG plans to expand the collaboration with avoltra further in order to consistently digitalize its energy procurement. The focus is on tapping intraday trading potential and automating the creation of consumption forecasts. With avoltra, RAG is establishing a new standard in energy procurement: away from manual planning towards a data-driven and automated procurement strategy that lowers costs, reduces emissions and creates long-term security of supply.