Planning software for complex business decisions
Pyplan helps supply chain and finance teams replace fragile spreadsheets and rigid platforms with decision-support applications, powered by a Python model that captures business logic and simulates its economic impact.
Plan with business logic
Move beyond cumbersome spreadsheet-based processes with a model that represents how operational and financial drivers interact across the entire company.
Simulate economic impact
Evaluate the effect of every decision on inventory, production, service levels, margins, cash flow, and profitability before you execute.
Power AI with Python
Use Python as a modeling layer behind your planning processes, giving AI a flexible, open, and explainable foundation for calculations.
How it works
Discover how the business decision engine operates in real-world scenarios
For teams that need more than just a workflow tool
Designed for companies that need more flexibility, transparency, and modeling depth than spreadsheets or rigid platforms can offer.
Supply Chain Planning
Support demand planning, inventory management, material requirements, and production scheduling with a transparent model of operational reality.
Financial Planning
Build driver-based planning models that connect commercial, operational, and financial assumptions into a single economic view of the business.
A business decision engine behind every plan.
Pyplan goes beyond managing planning workflows. At its core is an engine that captures business logic and calculates how every decision propagates through operations and financial results.
This is what allows Pyplan to provide support for integrated planning, advanced supply chain logic, and financial models tailored to operations that cannot be reliably captured in Excel or rigid platforms.
Align finance and supply chain in a single model.
Python makes Pyplan a practical tool for AI-powered planning
Because Pyplan models are built in Python, they fit naturally into the language ecosystem used by modern AI tools and language models. This makes Pyplan a practical calculation layer behind assistants for planners, analysts, and decision-makers.
Instead of asking an LLM to "guess" the business economics, companies can connect it to a model that already encodes the rules and calculations that truly matter.
Natural language at the front. Business logic in Python underneath.
Planning where business logic remains visible
A more powerful alternative to spreadsheets and more flexible than rigid platforms: a transparent, Python-based business decision engine to plan better, simulate scenarios faster, and make AI-driven decisions.
Business decision engine
A model that captures business logic and calculates the physical and economic impact of every scenario before a decision is made.
Python-native
Python as a modeling language: expressive logic, advanced calculations, and an open, extensible foundation.
Transparency by design
Influence diagrams make all variables, dependencies, and calculations visible, ensuring models are explainable.
AI-Ready
LLMs interpret the question. Pyplan performs the calculation. Together, they enable smarter decision-making.
How Pyplan thinks
Four levels that structure decision-making in complex environments.
Semantic Planning Ontology
Codify how the business works: relationships, constraints, and rules. Defined once and applied across the entire organization.
Business Decision Engine
Model the P&L impact of every trade-off. Each recommendation includes economic logic that is visible, explainable, and challengeable.
Operational Intelligence Layer
Turn decisions into action across the entire organization. Every department sees the impact immediately.
AI Agents
They automate routine work and free the organization to focus on the decisions that drive growth.
See Pyplan in action
