EcomBench

# EcomBench: Where Intelligent Agents Conquer Commerce Realms

## 🚀 Benchmark Overview

**EcomBench** is a domain-specific, real-world evaluation framework designed to rigorously assess the capabilities of AI agents in delivering practical support for the complex, ever-evolving demands of e-commerce.

We believe that truly capable AI agents will fundamentally transform how we interact with commerce. E-commerce represents one of the world's most significant economic sectors, with trillions of dollars in global transactions annually, making it an ideal proving ground for agent capabilities. Through EcomBench, we aim to evaluate and advance AI agents in this critical domain by tackling the complexities of real-world e-commerce scenarios.

> **EcomBench** measures an agent's ability to understand specialized e-commerce knowledge, perform complex multi-step reasoning, and orchestrate tools to solve authentic operational challenges.

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## 🎯 Our Foundational Strengths

EcomBench is the gold standard for e-commerce agent assessment, built upon four key principles:

* **Authority:** Constructed from genuine user demand scenarios drawn from **tens of millions of real-world interactions** on our leading global e-commerce platform. Every evaluation task arises from authentic operational contexts, ensuring the benchmark reflects real industry challenges rather than academic exercises.
* **Professionalism:** Benchmarking datasets and criteria are curated and reviewed by e-commerce experts and data scientists with deep domain expertise. This expert calibration guarantees precision and depth in every assessment, setting a professional standard.
* **Comprehensiveness:** EcomBench evaluates an agent’s versatility across the full spectrum of e-commerce intelligence, spanning data analysis, pricing strategy, and complex **tool orchestration**.
* **Dynamic:** E-commerce moves fast, and our benchmark keeps pace. Our team of experts incorporates the latest e-commerce trends and dynamically **updates our question bank quarterly**, ensuring continuous alignment with the real-world operational landscape.

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## 💾 Dataset Structure and Task Taxonomy

EcomBench encompasses a broad spectrum of task types, primarily covering seven fine-grained categories commonly observed in real-world e-commerce scenarios. This task taxonomy ensures a robust evaluation across diverse user demands.

### Fine-Grained Task Categories

The EcomBench dataset's tasks are categorized as follows:

| Task Category | Task Description |
| :--- | :--- |
| **Policy Consulting** | Tasks involving platform rules, qualification submissions, and tax registration processes, commonly seen in queries about compliance and policy-related demands in daily operations. |
| **Cost and Pricing** | Tasks related to checking order profit, preparing quotes, and adjusting prices under different market or customer conditions, often raised when users assess profitability. |
| **Fulfillment Execution** | Tasks covering shipping arrangements, handling returns and exchanges, and improving basic logistics routes, frequently asked about in day-to-day fulfillment issues. |
| **Marketing Strategy** | Tasks involving planning promotions, setting up ads, and finding ways to reach users, typically appearing in queries about boosting traffic or visibility. |
| **Intelligent Product Selection** | Tasks using trend signals and simple data insights to identify product categories with good potential, reflected in many questions about choosing the right products to sell. |
| **Opportunity Discovery** | Tasks looking at data to spot early signs of new opportunities, often asked when users explore new directions for growth. |
| **Inventory Control** | Tasks involving safety-stock planning, restocking decisions, and clearance actions, commonly seen in questions about balancing stock availability and overstock risks. |

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## 📈 Benchmark Results and Frontier

We have evaluated a diverse set of commercial and open-source models.


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## 📞 Contact Us

If you are interested in our EcomBench:

* **Result Submission:** Submit your model's results for inclusion in the official leaderboard.
* **Questions & Partnerships:** Have questions or partnership inquiries?

Please contact us directly at: **[e-mail]**.

# EcomBench：AI智能体攻克电商疆域的基准测试框架

## 🚀 基准测试概览

**EcomBench** 是一款面向特定领域的真实世界评估框架，旨在严格测评AI智能体 (AI Agent) 为应对电商领域复杂且不断演进的需求所提供的实际支持能力。

我们深信，真正具备核心能力的AI智能体将从根本上重塑人类与商业的交互模式。电商作为全球最重要的经济板块之一，全球年交易规模达数万亿美元，堪称检验智能体能力的理想试炼场。依托EcomBench，我们旨在通过攻克真实电商场景中的各类复杂难题，在这一关键领域评估并推动AI智能体的发展。

> **EcomBench** 用于衡量智能体理解专业电商知识、完成复杂多步推理以及调度工具以解决真实运营挑战的能力。

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## 🎯 核心优势

EcomBench 是电商智能体评估领域的黄金标准，基于四大核心原则构建：

* **权威性**：依托全球领先电商平台上数千万次真实交互产生的真实用户需求场景搭建。所有评估任务均源自真实运营场景，确保基准测试反映的是行业真实挑战，而非学术演练。
* **专业性**：基准测试数据集与评估标准由具备深厚领域专业知识的电商专家与数据科学家精心筛选并审核。通过专家校准，确保每一次评估的精准性与深度，树立专业标杆。
* **全面性**：EcomBench 从全维度评估智能体的电商智能综合能力，涵盖数据分析、定价策略以及复杂工具调度等全链路场景。
* **动态性**：电商领域发展日新月异，本基准测试亦与时俱进。我们的专家团队会纳入最新电商趋势，并每季度动态更新题库，确保与真实运营场景持续对齐。

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## 💾 数据集结构与任务分类体系

EcomBench 涵盖广泛的任务类型，主要覆盖真实电商场景中常见的七大细分类别。该任务分类体系可确保对多样化用户需求开展全面且可靠的评估。

### 细粒度任务分类

EcomBench数据集的任务分类如下：

| 任务类别 | 任务描述 |
| :--- | :--- |
| **政策咨询** | 涉及平台规则、资质提交与税务登记流程等任务，常见于日常运营中合规与政策相关的咨询需求。 |
| **成本与定价** | 涵盖订单利润核查、报价准备以及不同市场或客户条件下的价格调整等任务，常出现在用户评估盈利能力的咨询场景中。 |
| **履约执行** | 涉及物流安排、退换货处理以及优化基础物流路线等任务，常见于日常履约相关的咨询问题。 |
| **营销策略** | 涵盖促销规划、广告设置以及用户触达渠道拓展等任务，通常出现在提升流量或曝光度的咨询场景中。 |
| **智能选品** | 利用趋势信号与简易数据洞察识别潜力良好的商品品类的任务，常见于用户咨询如何选择合适的在售商品的场景。 |
| **机遇发现** | 通过数据分析挖掘新机遇早期迹象的任务，常出现在用户探索新增长方向的咨询场景中。 |
| **库存管理** | 涉及安全库存规划、补货决策以及清仓行动等任务，常见于平衡库存供应与库存积压风险的咨询问题。 |

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## 📈 基准测试结果与前沿进展

我们已对多款商用与开源模型开展了全面评估。


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## 📞 联系我们

若您对EcomBench感兴趣：

* **结果提交**：提交您的模型结果，以纳入官方排行榜。
* **咨询与合作**：如有疑问或合作意向？

请通过以下邮箱直接联系我们：**[e-mail]**。