Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 151 items • Updated
vertical stringclasses 3
values | season stringclasses 5
values | campaign stringclasses 4
values | strategy stringclasses 6
values | revenue float64 48.5k 80.5k | gross_margin_pct float64 38.7 44.9 | stockout_rate_pct float64 0 0.85 | waste_rate_pct float64 3.17 9.32 | choice_coverage_pct float64 46.7 50 | price_stability_score float64 88 100 | decision_regret_pct float64 88.3 90.6 | solve_time_sec float64 0.02 0.05 |
|---|---|---|---|---|---|---|---|---|---|---|---|
grocery_retail | holiday | flash_sale | stable_pricing_policy | 78,312.42 | 41.79 | 0 | 9.32 | 50 | 98.27 | 89.72 | 0.026 |
grocery_retail | summer | baseline | pyomo_joint_optimizer | 80,545.83 | 43.4 | 0 | 9.32 | 50 | 93.46 | 89.42 | 0.019 |
consumer_electronics | winter | loyalty_push | choice_assortment_opt | 48,516.02 | 41.25 | 0.85 | 6.29 | 50 | 90.53 | 88.67 | 0.015 |
consumer_electronics | holiday | clearance | thompson_bandit | 50,025.11 | 42.76 | 0.73 | 6.3 | 50 | 92.04 | 88.32 | 0.017 |
fashion_apparel | spring | baseline | cvxpy_relaxation | 65,644.81 | 38.72 | 0.65 | 3.17 | 46.67 | 100 | 90.55 | 0.028 |
fashion_apparel | fall | flash_sale | robust_pricing | 73,031.94 | 44.93 | 0.59 | 3.19 | 46.67 | 88.03 | 89.49 | 0.048 |
grocery_retail | winter | clearance | stable_pricing_policy | 78,312.42 | 41.79 | 0 | 9.32 | 50 | 98.27 | 89.72 | 0.027 |
Synthetic retail catalog scenarios for integrated pricing, assortment, and inventory optimization benchmarks.
Each JSON file contains a full optimization result with pricing decisions, assortment selection, replenishment plan, demand forecasts, and SimPy simulation output.
See manifest.json for the sample index and eval_results.json for MLflow-compatible benchmark metrics.