How Lindsay transformed her end-to-end planning with Pyplan

A complex context in a highly volatile market

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Lindsay is one of the global leaders in irrigation solutions, infrastructure and industrial technology for agribusiness. In Brazil, one of its strategic markets, the company faced a challenging scenario: demand strongly influenced by external variables — climate, commodity prices, political and regulatory environment — and a highly complex portfolio with more than 20,000 SKUs. Added to this were fragmented and manual processes, which forced the team to analyze more than 6,000 SKUs individually in spreadsheets, consuming up to 40 hours of operational work per week and making integrated decision-making difficult.

The Disconnect Between S&OP And S&OE It was another critical point. While the company managed to define a monthly tactical plan, daily execution was subject to multiple manual adjustments, with limited visibility on inventories, materials and bankruptcy risks. This generated recurring inefficiencies: excess stock in certain nodes, lacking in others, low accuracy in forecasts and a planning cycle unable to react with the speed required by the agricultural market.

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The Challenge: Integrate Tactical Planning and Operational Execution

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To sustain its growth and increase the competitiveness of the business, Lindsay defined a clear objective: Build an Intelligent, Unified and Scalable Process, capable of integrating demand forecasting, inventory optimization, materials and operational execution into a single digital model. The company needed to leave behind the spreadsheet-centric operational approach and move towards an integrated system that would connect sales, supply chain, purchasing and production decisions with market reality and network risks.

The challenge was not simply to improve the forecast or automate tasks, but to achieve a planning chain that would react with agility to climate changes, economic fluctuations and drastic variations in seasonal demand.

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The Pyplan solution: a unified, flexible and scalable model

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With Pyplan, Lindsay integrated the entire S&OP and S&OE process from end to end. In the demand phase, the platform incorporated advanced statistical models with automatic calibration and the ability to consider specific exogenous variables by region, significantly increasing the quality of the forecast. Hierarchical modeling and attribute management made it easier to work with thousands of products without additional complexity.

At the inventory level, Pyplan made it possible to strategically analyze the BOM —with more than seven levels— and define policies aligned with the variability of supply and demand. The integration with MPS, MRP and APS enabled a continuous flow between tactical planning and daily execution, connecting capacity, supply and production decisions in real time.

Thanks to this unified architecture, sales, operations, logistics, purchasing and finance began to work on A single version of the truth, with clear workflows, executive dashboards and a fully collaborative experience. The automation of the input in the ERP and the elimination of manual tasks freed up more than 40 weekly hours for the team.

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‍Results: a chain that is more accurate, collaborative and ready for the future

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The impact was immediate. The accuracy of the forecast increased by 81%, reducing bankruptcy risks and making it possible to optimize inventory coverage throughout the network. End-to-end visibility improved coordination between key areas and accelerated response to demand variations, material restrictions, or logistics interruptions.

In addition, the effective integration between S&OP and S&OE made it possible to connect the monthly plan with the daily execution, achieving a more stable, traceable operation aligned with the strategic objectives of the business.

With Pyplan, Lindsay didn't just modernize her planning chain: Installed a New Way of Working, more intelligent, collaborative and prepared to accompany the growth of agribusiness in an increasingly demanding environment.

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