Nacional Gás promotes a new era of intelligent planning for a more agile and profitable operation

A demanding sector where precise planning makes the difference

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The LPG market in Brazil combines high volumes, fluctuating demand cycles, significant logistics costs and the need to ensure continuous supply at thousands of consumption points. For a leading player like Nacional Gás, operating with predictability and efficiency is not just a strategic objective: it is an essential condition for maintaining differential service levels.

However, the company faced limitations typical of organizations with strong geographical dispersion and high operating frequency. Demand planning was carried out on daily and weekly spreadsheets, with multiple manual interventions and without a centralized repository. This made it difficult to obtain a consistent view, identify patterns, anticipate deviations and evaluate impacts on inventory, distribution or margin.

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Inventory management also presented challenges: low visibility, complex turnover, and risk of products that were about to expire without assignment, in addition to the need to operate with an average inventory of just two and a half days. This restriction made it necessary to react quickly to changes in the market or the transaction.

In addition, the lack of integration between areas — sales, operations, logistics and finance — generated disconnected plans, little traceability and difficulty in evaluating the financial impact of operational decisions. The company needed a platform that would unify processes, eliminate rework and provide intelligence at every stage of planning.

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The urgent need to evolve towards an integrated and predictive model

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In this context, Nacional Gás defined a clear objective: to build a robust, collaborative and connected process that would integrate three fundamental pillars of modern planning:

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1. Demand planning: automate the history, improve the forecast, incorporate advanced models and facilitate collaborative adjustments that would allow us to arrive at a single and reliable plan.
2. Inventory Management: establish policies aligned with service levels, risk and costs, in addition to having full visibility of stock, turnover and critical alerts.
3. Financial Impact Assessment: link demand and supply decisions with economic scenarios, margins, logistics costs and cash flow in a single model.
4. The central challenge was to replace isolated processes with an integrated planning model, where tactical decisions (S&OP) and operational (S & OE) were aligned. The company sought to anticipate restrictions, simulate alternatives and act with agility in the face of changes in consumption, distribution or supply.

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A unified Pyplan model that connects demand, inventories and finance

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The solution developed with Pyplan made it possible to transform the process in three key stages.

1. Demand Planning:
The visibility of sales and order history was automated, incorporating ABC/XYZ analysis, trends and business plan assertiveness. Statistical, econometric and machine learning models were integrated, allowing for more stable and reliable projections. Added to this was the capacity for collaborative adjustment, where marketing, sales and planning interact to build a consensual plan, with dynamic dashboards and reports available to the entire organization.

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2. Intelligent Inventory Management:
Pyplan made it possible to visualize inventory across the network, analyze turnover, expiration risk and define policies aligned with demand variability and logistics restrictions. The company gained the ability to anticipate shortages or excesses, simulate alternative policies and standardize decisions across the chain. This integration reduced manual efforts, increased accuracy, and provided clarity for tactical decision-making.

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3. Financial Impact Assessment:
The model integrated demand, inventory and logistics cost projections with financial indicators, allowing us to analyze margins, profitability, ROI and parameterized scenarios. With Pyplan, Nacional Gás can compare plans, evaluate deviations and analyze the relationship between operational decisions and economic results, all within the same environment.

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Together, the platform created a The only version of the truth, with processes governed by digital workflows, scenario simulation, augmented analytics and full integration between tactical and operational decisions. The result is a more agile, accurate and prepared planning to sustain the company's growth in a highly challenging market.

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Discover how Pyplan can transform your organization's planning, integrating demand, inventories and finance into a single intelligent model.
Talk to our specialists:
https://pyplan.com/es/entre-en-contacto/

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