From complexity to total control: Coca-Cola Andina redefines its planning with Pyplan

When the scale of the business exceeds the payroll

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In the food and beverage industry, operating with large volumes, multiple plants and an extended logistics network requires precise, consistent and agile planning. In that context, Andean Coca-Cola Argentina faced a growing challenge: its Financial Planning and Analysis process relied heavily on spreadsheets.
The complexity of the business meant that assumptions were not always aligned, models became fragile and miscalculations were frequent. Much of analysts' time was spent validating data, correcting inconsistencies and reconstructing information, instead of analyzing scenarios, understanding deviations or providing strategic value.

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The lack of integration between sales, costs, production plants and financial results limited the ability to respond quickly to key business questions, increasing operational risk and delaying decision-making.

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The objective: to transform FP&A into an integrated and dynamic process

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To keep up with the scale and complexity of its operation, Coca-Cola Andina needed to evolve its planning model. The objective was not only to replace the spreadsheets, but to build an integrated process that would connect sales, variable costs, labor and financial results in a single model.
The company sought to automate the updating of data, accelerate the generation of the annual budget and the long-term business plan, and have the ability to simulate scenarios in an agile way.

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It was key to be able to quickly answer strategic questions such as profitability by SKU, region or plant, evaluate the impacts of productive or logistical changes, and anticipate how different decisions would affect business margins and results. To achieve this, a platform that was flexible, scalable and capable of adapting to the organization's own logic was needed.

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How Pyplan promoted a new way of planning

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With Pyplan, Coca-Cola Andina developed a Integrated Financial Planning Model, centralizing sales projection (PxQ), variable costs and labor costs on a single platform. The model was built in a modular, flexible way and fully adaptable to the company's internal processes.

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Automatic integration with internal data sources eliminated manual tasks, reduced errors and dramatically accelerated the updating of monthly forecasts. The teams began working on a single version of the truth, with granular visibility of historical data and projections at different hierarchical levels.
The ability to simulate scenarios became a key differentiator. Thanks to the analytical engines and the flexibility of modeling in Pyplan, the company was able to evaluate production, logistics and commercial alternatives in minutes, clearly understanding their financial impact before making decisions.

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This new approach allowed us to move from reactive planning, focused on correcting errors, to predictive and prescriptive planning, aimed at anticipating scenarios, evaluating risks and choosing the best course of action. The result was a process of FP&A more agile, reliable and aligned with the business strategy, ready to sustain the future growth and complexity of the operation.

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Discover how Pyplan can help you transform your organization's financial and operational planning, integrating data, scenarios and decisions into a single intelligent model.
Learn about our solutions or talk to an expert:
👉 https://pyplan.com/es/entre-en-contacto/

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