---
license: mit
tags:
  - inventory-optimization
  - predict-then-optimize
  - operations-research
  - chronos-2
library_name: stockforge
---

# StockForge Optimizer Config

Configuration manifest for the StockForge retail decision intelligence engine.

## Forecast Model

- **Base model:** [amazon/chronos-2](https://huggingface.co/amazon/chronos-2)
- **Quantile levels:** P10, P50, P90
- **Horizon:** 14 days

## Optimizers

| Optimizer | Description |
|-----------|-------------|
| `deterministic_inventory_milp` | Point forecast (P50) → reorder/safety stock MILP |
| `stochastic_quantile_milp` | Expected cost over quantile scenarios |
| `robust_quantile_milp` | Worst-case cost minimization |

## Solvers

Pyomo + HiGHS, scipy.stats fallback

## Simulation

SimPy discrete-event inventory validation

## No Training Required

This repository contains optimizer configuration and benchmark metadata only. Forecasting uses the pretrained Chronos-2 foundation model.

## License

MIT