Optimize inventories with a balance between service, cost and risk
Pyplan Tactical Inventory Management connects forecasts, replenishment policies and operational restrictions in a unified model, allowing for more accurate, simulable decisions aligned with the financial strategy.
Less excess, fewer failures, more operational efficiency.
Main Features
Dynamic safety stock calculation
Advanced models that consider demand variability and lead time to define optimal buffers.
Configurable replenishment policies
It supports multiple strategies: min-max, daily coverage, periodic or continuous review, and others.
Intelligent inventory segmentation
ABC/XYZ classification and strategic segmentation according to criticism, turnover or profitability.
Dashboards and tactical alerts
Clear visualization of coverage, turnover, excess, risk of bankruptcy and actionable recommendations.
Discover the supply chain and financial planning platform
Coty redefines its planning: from fragmented processes to decisions with real business impact
When financial complexity requires another level: EDP Brasil redefines its FP&A with Pyplan
From complexity to total control: Coca-Cola Andina redefines its planning with Pyplan
Resources
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?
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.
.jpg)
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 Pyplan in action
