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Demand planning

Collaborative demand planning with AI

With Pyplan Demand Planning, forecasting ceases to be a statistic and becomes a competitive advantage. Incorporate external variables, simulate scenarios in seconds, and connect all areas around a single living plane.

More precision, more collaboration, more impact on results.

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Real collaboration between areas

Marketing, sales, operations and finance work with the same criteria and the same information. This speeds up the path from the forecast to the final plan and makes it easier to reach agreements.

More transparency and trust in numbers

It can be clearly seen which factors influence the prognosis. This way, all teams understand the reason for the results and align more easily.

Continuous and responsive planning

The system incorporates short-term signals — such as data from the point of sale, weather, social networks or changes in customer behavior — to adjust the forecast before major deviations appear.

Fast and hassle-free setup

The screens and templates are flexible and adapt to the business without the need for lengthy or complex projects.

Scalable and adaptable to different structures

It allows you to plan by product, channel, location or region. Attributes can also be used to work with new products that don't yet have a history.

Main Features

Adaptive AI agents (Gen AI + ML)

They learn from their data and adjust predictions continuously; they combine statistical and causal models; they offer explanations of the drivers.

Demand detection and outdoor signals

It integrates POS, weather, social networks, promotions and other high-frequency signals to update the short term.

Hierarchical and Attribute Modeling Multilevel Forecasting

(SKU-Channel-Region-Store) and attribute forecasting for releases without a history.

Hypothetical simulation with operational and financial impact

Test pricing, promotion, combination and event scenarios; assess risks and prioritize the best response.

Digital Consensus and Workflows

Governance of releases, approvals and comments; gather cross-functional inputs for a single, auditable plan.

+50 statistical, econometric and machine learning models

Automatic selection of the best method by series (statistical, ML, causal); segmentation and automation by policies.

Discover the supply chain and financial planning platform

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They trust Pyplan

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.

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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.

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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.

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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.

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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.

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Resources

Article

Agentic AI in planning: separating the hype from the product

The 2026 tariff volatility requires replanning in days, not months. What capabilities do Supply Chain and Finance need to avoid being exposed?

Webinar

New Skills for the Demand Planner of the Future

The skills demand planners need as AI reshapes planning: more judgment, sharper analysis and better decisions.

Article

Demand Sensing: Process, Solutions and CPG Examples

What demand sensing is, the 5-step process, how to choose demand sensing software and how CPG companies use it to cut short-term forecast error.

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