Resources
Coty redefines its planning: from fragmented processes to decisions with real business impact
Coty transformed its S&OP by integrating demand, supply and finance into a single model, improving decisions and efficiency.
Pirelli is driving a new financial era with an agile, integrated model ready to scale
Pirelli transformed its financial planning by replacing manual processes with an integrated, agile model with instant visibility.
Nestlé breaks the traditional model and adopts planning that thinks, predicts and decides on its own
Nestlé transformed its planning with a digital flow of DRP, demand sensing and automation that increased accuracy, agility and product availability.
The 3 layers that define planning in 2026
People, Processes and Technology
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When planning needs intelligence that acts
Why it's no longer enough to analyze data to make good decisions
Simulate, compare and decide without losing control
Planning is choosing between alternatives. The Pyplan scenario manager allows you to simulate different futures, compare impacts and make informed decisions, without breaking the consistency of the model or official data.
Dashboards designed to make decisions
A good dashboard isn't the one that shows the most graphics, but the one that helps you make decisions. In Pyplan, dashboards are designed as an extension of the planning model, not as isolated reports.
Real models for real problems
Behind every reliable decision is a solid model. In Pyplan, models are not theoretical prototypes or black boxes: they are real representations of the business, designed to scale, adapt and evolve along with the organization.
Why Pyplan models in Python
Transparency, scalability and models that survive the business
Modeling the business, not just the numbers
How Pyplan's influence diagrams transform complex rules into clear decisions
Preparing data for better planning
Quality, structure and scalability from the first model
Data governance for planning with confidence
Control, traceability and consistency in each Bajada number
From any source to a single version of the truth
How Pyplan integrates and prepares your data for reliable planning
When financial complexity requires another level: EDP Brasil redefines its FP&A with Pyplan
EDP Brasil transformed its financial planning by integrating projection, consolidation and scenarios into a single intelligent model.
From complexity to total control: Coca-Cola Andina redefines its planning with Pyplan
Coca-Cola Andina transformed its financial planning by integrating data, scenarios and decisions into a single intelligent model.
When planning ceases to be a risk and redefines InterCement's performance
InterCement transformed its S&OP with Pyplan, integrating demand, supply and costs to decide with greater precision and profitability.
Planning under strict rules without losing agility: the new ENEL model
ENEL unified regulated margin planning, integrating data, scenarios and decisions into a single collaborative model.
Comgas redefines its energy decisions with intelligent planning in a new competitive market
Comgas transformed the management of gas contracts with intelligent models that optimize costs, risks and strategic decisions.
When better decision becomes a competitive advantage: Cellera Farma's strategic shift
Cellera Farma integrated demand, supply and finance into a single model to decide with greater agility and predictability.
The silent transformation that changed the way we decide at Carrefour Financial Solutions
Carrefour Financial Solutions transformed its FP&A into an integrated, agile and reliable process, improving the speed, collaboration and quality of financial decisions.
The new era of intelligent forecasting: how collaboration empowers the future of Eurofarma
Eurofarma modernized its demand planning with Pyplan, achieving greater precision, visibility and collaboration between areas.
Planning for tomorrow: an S&OP that enhances scenarios, capacity and margin at Sylvamo
Pyplan allowed Sylvamo to optimize its production mix, accelerate scenarios and strengthen its S&OP process with more precise and collaborative decisions.
Nacional Gás promotes a new era of intelligent planning for a more agile and profitable operation
Nacional Gás transformed its planning by integrating demand, inventories and financial analysis into a unified and more collaborative model.
Pason redefines financial management with an intelligent model that transforms your revenue control
Pason modernized its financial control with Pyplan, unifying accrued revenues, reports and traceability in an agile and intelligent model.
The evolution of Puma: a more agile, collaborative and strategic chain driven by advanced analytics
Puma Mexico promoted a more agile and accurate operation by integrating advanced analytics and a collaborative model to optimize supply and execution.
Grupo Comeca redefines its financial control and deploys a new era of corporate precision
With Pyplan, Grupo Comeca unified its financial consolidation, reduced manual work and achieved greater accuracy in its corporate statements.
Arcor transforms sell-out into intelligent decisions and takes its alfajores to more points of sale
Grupo Arcor connects sell out, inventory and production in an intelligent VMI model to reduce bankruptcies and accelerate growth.
Grupo CRM increases its planning intelligence and transforms decisions into competitive advantage
The digitalization of Demand Planning and S&OP allowed Grupo CRM to gain precision, agility and collaboration in a chain marked by seasonality and high complexity.
How Ciosa promoted a more agile and scalable planning chain with Pyplan
Ciosa transformed its demand and inventory planning with Pyplan, achieving greater precision, operational agility and a more efficient network.
Alpura redefines its decision chain with predictive intelligence and total demand control
With Pyplan, Alpura transformed its operational execution, increased demand accuracy and accelerated critical decisions throughout its national network.
Intelligent VMI powered by AI: the new predictive execution engine in Hinode
The implementation of Pyplan VMI allowed Hinode to synchronize its network, automate replenishment and increase sales with lower inventory.
How Lindsay transformed her end-to-end planning with Pyplan
Lindsay integrated S&OP and S&OE with Pyplan, increasing forecast accuracy and optimizing inventories with a more agile and collaborative process.
When regulation requires absolute precision, ES Gás accelerates decisions with intelligent planning
ES Gás modernized tariff calculation and regulatory planning, gaining traceability, speed and reliability in critical decisions.
When planning ceases to be reactive: Necta redefines natural gas with integrated intelligence
Necta modernized its natural gas planning by integrating demand, supply and operation into an intelligent model.
Optimizing the Financial Consolidation Process in FP&A through Integrated Planning Platforms
Integrated planning platforms play a fundamental role in optimizing the financial consolidation process within FP&A
How to choose the most beneficial gas contracts within a portfolio of offers
Main features of two modules designed to solve problems in the area of supply and contract management.
Proactively manage your portfolio of defaulters and improve collection
We present a specific module of our gas suite designed to manage the client portfolio related to delinquency
Innovation in the areas of FP&A for energy companies
Pyplan's financial planning and analysis system solves the problems of spreadsheet-based financial planning.
The Power of Utility Planning: Maximizing the Efficiency of Public Utilities
Utility Planning emerges as a key tool for optimizing operations and improving decision-making.
Connecting Manufacturer and Franchise to Elevate Stock Management at Hinode
Hinode integrated manufacturers and franchises into a collaborative stock management process
From Excel to AI: The New Era of Supply Chain Planning in Oil & Gas
How companies in the sector are leaving behind manual models in Excel to adopt Supply Chain Planning processes
Pyplan Innovation Lab #4: Artificial Intelligence applied to CPFR and VMI 🚀
We explore how Artificial Intelligence is revolutionizing collaborative planning models
Electric Utilities: AI-Driven Planning Suite for the CFO’s Office⚡
We explore how modern demand and supply planning powered by data, predictive models, and integrated workflows can transform end-to-end decision-making.
Pyplan Experience Talk #2: The Danone case
Combining demand forecasting, advanced analysis, and integration between areas can transform Supply Chain Planning.
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The Power of Generative AI Applied to S&OP and S&OE
The power of Generative AI applied to S&OP and S&OE
Pyplan Innovation Labs: Demand Control
Demand Control is essential for making quick and efficient decisions in the face of market variations
Pyplan Experience Talks #1: Demand Control The Alpura case 🌟
We explored how Alpura modernized demand forecasting and supply chain planning using advanced analytics and artificial intelligence.
Masterclass #7 l Trends 2025: Redefining S&OP/IBP
Get ready to take a leap into the future of S&OP/IBP
Raising the precision and agility of S&OP in the auto parts industry — Grupo Ciosa Case
How companies in the auto parts sector can meet today's supply chain planning challenges with greater accuracy, agility and resilience.
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Masterclass: Integrated Planning in the Pharmaceutical Industry
The pharmaceutical industry faces unique challenges in demand planning and operations.
S&OP/IBP OF THE FUTURE: The use of Artificial Intelligence in practice
How demand and supply planning is evolving with the use of predictive algorithms and modern S&OP tools
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Digital Transformation of Supply Chain Planning
How Digital Transformation Is Revolutionizing Supply Chain Planning
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Masterclass 2 High Performance Stock Management: the Nestlé case
How Nestlé optimizes its management in complex environments
Digital Transformation in Demand Planning
Discover how digital transformation can revolutionize demand planning in your company.
How to Boost IBP Processes with Advanced Analytics
We explore how to enhance IBP (Integrated Business Planning) processes using advanced analytics, simulation and intelligent models developed with Pyplan.
How to integrate Sell-out information with Demand and Inventory Planning
Do you want to have more assertive demand and inventory projections? The key is to provide feedback to the planning process with relevant information.
Artificial Intelligence and Data Analytics in S&OP
Improve assertiveness, raise your level of service and make your entire supply chain more efficient, taking your S&OP process to the next level.
Technological Advances in Demand Planning for 2024
A journey through 2024 trends in demand planning: greater accuracy with machine learning, inventory optimization and Smart Demand Sensing.
Pyplan, the Easiest Way to Create and Share a Data Analysis Application
This article shows how Pyplan improves the delivery of insights, allowing the creation of intuitive applications and dashboards for any user.
The Resurgence of Objective Planning: Meeting KPIs in FP&A
A look at how Planning by Objectives improves decision-making in FP&A, especially in CAPEX analysis and financing through scenarios.
Why Is Demand Planning Crucial in the Pharmaceutical Industry?
We explore key techniques to optimize inventories and avoid disruptions in pharma, including advanced forecasting and risk management.
Transforming Budgeting into Strategic Planning
How to move from rigid budgeting to a flexible process using scenario planning and driver-based models.
Leveraging AI and Machine Learning for Advanced Insights and Efficiency in FP&A
A look at how AI and ML modernize FP&A with anomaly detection, automated reporting and real-time analysis.
Improving Integrated Business Planning Through Connected Planning in S&OP
Analysis of the role of Connected Planning in IBP, improving coordination, visibility and capacity to manage uncertainty.
What Should We Consider to Choose the Right Tool for Our FP&A Process?
We explore why an FP&A system is vital and what are the six key characteristics for choosing the right tool, including flexibility and scenario analysis.
Improving Efficiency Through Coordinated Supply and Demand Planning in S&OP
A look at how IBP integrates supply and demand into S&OP to improve operating and business results.
Leveraging Advanced Analysis and Artificial Intelligence in Demand Planning
We explore how AI and advanced analysis increase the accuracy of forecasts and allow us to integrate massive data and diverse sources, including sentiment on social networks.
Accurately Project Your Demand
An analysis of the solution designed for natural gas distributors and carriers that optimizes demand forecasts and reduces contractual penalties.
Integrating Environmental, Social and Governance (ESG) Considerations into Demand Planning and Supply Chain Management
This article addresses the importance of including ESG criteria in the supply chain to improve sustainability, reputation and risk control.
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The Revolution of Artificial Intelligence and Data Analysis in Demand Planning
AI and data analysis take demand planning to another level, offering more accurate forecasts thanks to the advanced analysis of large volumes of data.
Data-Based Strategic Workforce Planning
Align HR to the business with data-driven planning that models costs, manages skills, and enhances retention and productivity.
Discover How Data Analysis Can Help You Make Strategic Decisions
Investing in technology for FP&A, Regulation, Tariffs and Projects drives profitability. Explore three modules that integrate unique data and improve decision-making.
Improving Demand Planning Through Segmentation and Personalization in the Retail Industry
A summary of the impact of segmentation and personalization on inventory, marketing and customer loyalty in retail.
Digital Transformation and FP&A Processes
Digital transformation drives a new FP&A, leaving behind spreadsheets and adopting platforms with agile and efficient analysis.
5 reasons to move from S&OP to IBP with Pyplan
Transform your S&OP into a more agile and accurate IBP with Pyplan: better decisions, optimized chain and greater profitability.
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