@QwenDevs: E-Commerce Bench is a small attempt to evaluate models in a specific business setting. hope it can offer a useful refer…

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Summary

E-Commerce Bench is a new benchmark introduced by Alibaba's Qwen team to evaluate AI models in long-horizon autonomous business operations for e-commerce, starting with ¥100,000 to run online stores for 365 days.

E-Commerce Bench is a small attempt to evaluate models in a specific business setting. hope it can offer a useful reference for improving model performance on specialized business tasks.
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E-Commerce Bench is a small attempt to evaluate models in a specific business setting. hope it can offer a useful reference for improving model performance on specialized business tasks.

Qwen (@Alibaba_Qwen): Meet E-Commerce Bench, a new benchmark for long-horizon autonomous business operations. 🚀

Agents start with ¥100,000 to run online stores for 365 days, handling sourcing, negotiation, pricing, promotions, inventory and cash flow, in a market driven by real e-commerce data.

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StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents

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StoreBench introduces a live-commerce RL environment where autonomous agents run an online apparel store with 29 merchant tools, testing long-horizon planning under uncertainty. No frontier LLM matches a scripted smart-triage baseline (best, DeepSeek-V4-Pro, passes 49% vs 97%), while GRPO post-training on Qwen3.5-27B substantially improves held-out performance.