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.
Move beyond spreadsheet-heavy processes with a model that represents how operational and financial drivers interact across the entire company.
Evaluate the effect of every decision on inventory, production, service level, margins, cash flow, and profitability before executing it.
Use Python as the modeling layer behind your planning processes, giving AI a flexible, open, and explainable foundation to calculate from.
How it works
1. Business question
What is the impact of a demand shift or a supply constraint?
2. AI + Pyplan
The LLM interprets the question. Pyplan calculates the scenario using business logic in Python.
3. Decision support
Teams get explainable operational and financial results before taking action.
Planning markets
Built for companies that need more flexibility, transparency, and modeling depth than spreadsheets or rigid platforms can offer.
Supports demand planning, inventory management, material requirements, and production scheduling with a transparent model of operational reality.
Build driver-based planning models that connect commercial, operational, and financial assumptions into a single economic view of the business.
The differentiator
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 enables Pyplan to support integrated planning, advanced supply chain logic, and financial models tailored to operations that cannot be reliably captured in Excel or rigid platforms.
AI compatibility
Because Pyplan models are built in Python, they fit naturally into the language ecosystem used by modern AI tools and large 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 economics of the business, companies can connect it to a model that already encodes the rules and calculations that actually matter.
Natural language in the front. Business logic in Python underneath.
Why Pyplan
A stronger 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-powered decisions.
A model that captures business logic and calculates the physical and economic impact of every scenario before a decision is executed.
Python as the modeling language: expressive logic, advanced calculations, and an open, extensible foundation.
Influence diagrams make every variable, dependency, and calculation visible to keep models explainable.
LLMs interpret the question. Pyplan runs the calculation. Together they enable smarter decisions.
How Pyplan thinks
Four layers that structure decision-making in complex environments.
01 — Understand
Encodes how the business works: relationships, constraints, and rules. Defined once and applied across the entire organization.
02 — Reason
Models the P&L impact of every trade-off. Every recommendation includes visible, explainable, and challengeable economic logic.
03 — Execute
Turns decisions into action across the organization. Every area sees the impact immediately.
04 — Automate
Automate routine work and free the organization to focus on the decisions that drive growth.
