→

Demand Sensing

Captures fluctuations in demand in real time

Pyplan Demand Sensing incorporates real-time signals - sales, POS, orders, weather, promotions - to adjust plans more quickly and accurately.

Fewer deviations, more synchronization with the reality of the market.

See Pyplan in action

Increased ability to react to volatility

Detect unexpected variations in demand and adjust plans before they impact the operation.

More accurate short-term planning

It combines daily consumption signals with statistical and AI models, reducing dependence on long-term projections.

Better alignment between areas

Sales, operations and supply chain work with the same updated view of the market, which reduces conflicts and reprocesses.

Reducing the risk of bankruptcies and excesses

By anticipating real trends, it makes it possible to plan inventories and production more in line with effective demand.

Main Features

Integration with multiple data sources in real time

It connects daily sales, POS, electronic orders, promotions and external factors such as climate or digital trends.

Adaptive machine learning models

They automatically adjust forecasts for new signals, recognizing seasonal patterns and disruptive events.

Dynamic Demand Dashboards

Clear visualization of forecast vs. actual demand by SKU, region or channel, with interactive filters.

Intelligent predictive alerts

It notifies when deviations exceed critical thresholds and recommends corrective actions.

Discover the supply chain and financial planning platform

Talk to an expert

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.

Read success story

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.

Read success story

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.

Read success story

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.

Read success story

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.

Read success story

See all success stories (+90)

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.

See all resources

See Pyplan in action

Fill out the form and we’ll get in touch!