Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 136 items • Updated
Datasets:
Modalities:
Text
Formats:
json
Size:
< 1K
Tags:
retail
inventory-optimization
predict-then-optimize
chronos-2
operations-research
stochastic-programming
License:
benchmark_count int64 | leaderboard dict | metrics dict |
|---|---|---|
10 | {
"instances": 10,
"forecast_decoupling_rate": 0.6,
"best_decision_policy": "deterministic_p50",
"best_forecast_policy": "deterministic_p50",
"policies_aligned": true,
"leaderboard": [
{
"policy": "deterministic_p50",
"label": "Deterministic P50 (Predict-Then-Optimize)",
"avg_total_cos... | {
"forecast_decoupling_rate": 0.6,
"best_decision_policy": "deterministic_p50",
"best_forecast_policy": "deterministic_p50",
"policies_aligned": true
} |
Retail Forecast-Optimize Benchmark
Benchmark dataset for predict-then-optimize retail inventory decisions.
Contents
| File pattern | Description |
|---|---|
{scenario}_s{seed}.json |
Full policy comparison per scenario instance |
samples/sample_*.json |
Retail scenario definitions |
eval_results.json |
Aggregated leaderboard metrics |
chronos-2-live-forecasts/ |
Live Chronos-2 outputs from HF Jobs (when available) |
Scenarios
- Baseline Operations
- Promotion Spike
- Holiday Surge
- Oil Price Shock
- Supply Disruption
Source Data
Forecast Model
amazon/chronos-2 — 120M parameter time-series foundation model with quantile forecasting.
Primary Metrics
Stockout cost, holding cost, waste, service level, total inventory cost, decision regret.
License
MIT
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