A stateful simulator of retail operations.
E-Sim is a long-horizon resource management benchmark built on a stateful simulator of retail operations. Agents take control of the business on a fixed date and operate it one day at a time. Environments are grounded in nearly a decade of real customer orders, purchase orders, and inventory snapshots from a live retailer.
Model performance ranked across tasks
Each model's performance on the tasks tagged with a given skill.
The same figures as a table, with the best score in each row marked.
| Skill | Grok 4.6 | GPT‑5.6 Sol | Gemini 3.7 Flash | Fable 5 | Opus 5 | Kimi K3 |
|---|---|---|---|---|---|---|
| Economic executionThe model's overall ability to execute a long-horizon resource management task. | 92.7% | 79.2% | 78.1% | 75.0% | 57.9% | 47.9% |
| Inventory turnoverWhether the model converts the stock it carries into sales rather than paying to hold it: share of rollouts at or below the task's median holding-cost-to-revenue ratio. | 78.4% | 43.8% | 64.6% | 64.6% | 21.9% | 27.0% |
| Commitment controlModel's ability to avoid ending with excessive unpaid purchase-order commitments. | 28.6% | 70.0% | 52.4% | 33.3% | 32.5% | 28.9% |
| Inventory-policy robustnessWhether the model buys and moves the right inventory to the right locations at the right time. | 97.8% | 84.4% | 87.2% | 90.0% | 80.9% | 76.1% |
| Self-evaluation calibrationModel's ability to avoid optimistic claims that ignore benchmark performance. | 71.4% | 90.0% | 52.4% | 33.3% | 82.5% | 52.6% |
Score against dollars per rollout. The dotted line is the Pareto frontier.