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Start from proven foundations
Laicodon is building a catalogue of functional building blocks inspired by real planning use cases.
Independent software publisher
Planning software,built around your business.
Laicodon is building a new generation of AI-augmented planning applications. Start from proven functional building blocks, assemble the right foundation, and shape the application around your business.
Sales forecasting
Demand Planning workspace
Best-fit modelETS
Illustrative demoApplication foundation
Reusable Python building blocks
Assemble · adapt · test · improveA different approach
From business needs to usable planning applications.
Planning software should adapt to the way teams work, not force every business into the same technical model.
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Assemble what your business needs
Select the relevant blocks, combine them into an application, and create a solid foundation without starting from zero.
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Fine-tune with AI
Adapt the model, the workflows and the visual experience to your specific business context.
Functional building blocks
A foundation you can build on.
Each block is designed to solve a concrete planning problem and can be reused, tested and adapted across applications.
Demand Planning, sales forecasting, S&OP, budgeting and other planning processes.
Forecasting models, best-fit selection, scenario management, allocations and business rules.
Reusable components that can be assembled into a client-specific application.
A tailored planning experience shaped around the client's data, process and decisions.
First use case
Demand Planning, starting with sales forecasting.
Compare multiple forecasting approaches, identify the best fit, and give planners the tools to understand and adjust the result.
What we are prototyping
A demonstration application built on simulated sales data. It will show how reusable planning blocks can be assembled into a practical forecasting workflow.
- Historical sales analysis
- Multiple forecasting models
- Backtesting and model comparison
- Best-fit model selection
- Planner adjustments and scenarios
Early exploration