A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains
2025-08-25
Summary
The article introduces Amazon-Bench, a new benchmark designed to evaluate web agents' performance in e-commerce environments, specifically Amazon. Unlike existing benchmarks that focus mainly on product searches, Amazon-Bench covers a wide array of e-commerce tasks, including account management and gift card operations. The benchmark also assesses the safety of web agents by identifying potential risks and harmful failures, such as unintended purchases or incorrect account modifications.
Why This Matters
As e-commerce platforms become increasingly complex, assessing web agents' capabilities and safety becomes crucial for ensuring efficient and secure user interactions. Amazon-Bench addresses the limitations of existing benchmarks by providing a more comprehensive evaluation framework that includes both task completion and safety considerations. This is important for developing more reliable and robust web agents that can handle a broader range of user queries without compromising user accounts.
How You Can Use This Info
Professionals working in e-commerce or AI can use insights from Amazon-Bench to better understand the capabilities and limitations of current web agents. This benchmark can guide the development of more efficient and safer automated systems for handling complex e-commerce tasks. Additionally, understanding the potential risks associated with web agents can help professionals implement better safety measures to protect user data and transactions on their platforms.