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Closing and Reporting Processes

Intelligent Financial Closure with AI

It automates accounting closing and generates consistent reports with speed and traceability, eliminating rework and errors.

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Automation of critical stages

It executes key accounting closing tasks using AI, reducing time and minimizing manual errors.

Reducing inconsistencies

It detects differences between different data sources and corrects inconsistencies using intelligent algorithms.

Audited governance

It manages the entire process through digital workflows, with approvals and full traceability.

Integrated vision

It consolidates forecasting, planning and execution into a single environment to accelerate decision-making.

Main Features

Closure automation

Orchestrate closing activities with AI, from reconciliation to seat generation, reducing manual burden and increasing process reliability.

Financial Modeling with Predictive Analysis

It integrates forecasts and scenarios with machine learning to anticipate risks and improve closure accuracy, identifying trends and possible deviations before they occur.

Intelligent and auditable workflows

They ensure version control, approvals and full traceability, with configurable business rules that ensure regulatory compliance and transparency.

Dynamic dashboards with augmented analytics

They show financial KPIs, closing progress indicators and critical deviations in real time to enable quick and corrective decisions.

Intelligent reconciliation between sources

It proactively identifies inconsistencies and proposes automatic corrections, accelerating data consolidation and reducing manual rework.

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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