When regulation requires absolute precision, ES Gás accelerates decisions with intelligent planning

When regulation becomes a strategic challenge

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The natural gas distribution sector faces a highly regulated environment, with complex pricing frameworks and increasing demands for transparency. In this context, each tariff review involves modeling multiple variables: demand, investments, operating costs, inflation, regulatory criteria and future scenarios.

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At ES Gás, these calculations were based on scattered spreadsheets, rigid models and manual processes that were difficult to audit. La stage construction had been taking weeks, regulatory changes required complete models to be redone and the traceability of assumptions became an operational risk. The company needed to reduce errors, gain speed and ensure consistency in decisions that directly impact revenues, investments and relationship with the regulatory body.

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From isolated models to an integrated view of the business

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The objective was clear: to transform the rate calculation and regulatory planning process into an integrated, flexible and reliable flow. ES Gás sought to unify financial, operational and demand information in a single model, capable of adapting to regulatory changes without redoing everything from scratch.
This involved integrating tactical and operational planning, aligning demand projections, network investments, costs and financial results. In addition, it was key to incorporate advanced simulation capabilities to evaluate regulatory scenarios, analyze impacts on rates and anticipate decisions before each review cycle. The company needed to leave behind a reactive approach and gain predictive and structured logic.

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How Pyplan drove the transformation

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The solution was built on the platform of Pyplan, integrating financial planning, demand models and regulatory logic in a single environment. A unified and scalable model was developed that replicates the real processes of ES Gás, with clear rules, versioning and full traceability.

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Through advanced planning capabilities, the company was able to simulate tariff scenarios, assess economic impacts and adjust key variables in real time. The addition of advanced analytics and intelligent agents made it possible to automate calculations, detect inconsistencies and accelerate the analysis of alternatives.

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Tactical planning was directly connected to operational execution, allowing every change in demand, costs or investments to be immediately reflected in the results. Thus, ES Gás went from static spreadsheets to a predictive and prescriptive approach, with decisions based on data, greater agility in the face of regulatory changes and a significant reduction in operational and business risks.

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Discover how Pyplan can transform your regulatory and operational planning from end to end. Learn about our solutions or talk to an expert:
👉 https://pyplan.com/es/entre-en-contacto/

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