Core Algorithms

This section details the mathematical models and logic engines that drive Maven Lane’s business intelligence. Unlike standard automation workflows (which move data), these documents explain how we calculate decisions.

Demand Planning & Forecasting

Future Modules

(Placeholders for potential future documentation)

• Dynamic Pricing Engine (e.g., Markdown optimization logic)
• Inventory Rebalancing (e.g., Logic for moving stock between warehouses)
• Lead Time Estimator (e.g., Analyzing past PO performance)

Reference Concepts

Terminology

• Time-Series: Data points indexed in time order (e.g., daily sales).
• Deterministic: An algorithm that always produces the same output for a given input (no randomness).
• Stochastic: An algorithm that includes random probability (e.g., Monte Carlo simulations).

Contribution Standard

When documenting a new algorithm, please ensure you include:

1. The Math: Use LaTeX ($E=m{c}^2$) to prove the logic.
2. The Inputs: What data is required? (e.g., History[], Seasonality{})
3. The Flow: Use Mermaid charts to visualize the decision tree.