StockForge Optimizer Config
Configuration manifest for the StockForge retail decision intelligence engine.
Forecast Model
- Base model: 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