Viva Republica (Toss) · May 2026 – Present
Merchant Review Automation
20 FTEreview headcount savedcard-company merchant review (payment-path capture)
01Background & Goals
- Reviewers opened each merchant website by hand to check and capture business details, terms and the payment path; a manual review took about three days on average. The automation targets same-day results.
- Every merchant site is structured differently, so reviewers had to hunt for the right pages one by one.
02Key Challenges
- C1 Finding every piece of review evidence on sites that are all structured differently
- C2 Not burdening or endangering third-party merchant servers
- C3 Deciding when enough has been collected and stopping
03Contributions
Browser-use review agentC1C3
- Designed a browsing loop (observe → reason → act) that reads the screenshot and page text together and decides where to look next
- Set collection goals per review item (business details, terms, payment path) so the agent picks its next action from what is still missing
- Made the agent stop on its own once it had what it needed, keeping captured screens and text as review evidence
Safety for third-party serversC2
- Read public pages only, with one browser per merchant going one page at a time, so merchant servers see no more load than a single visitor
04Tech Stack
- Framework / Platform
- browser-use, Headless Chromium, Multimodal LLM
- Methodology
- Agentic browsing, Prompt engineering
05Results
- Saved 20 FTE by automating card-company merchant review (payment-path capture)
- Applied the same agent to Toss Pay merchant review (an 8-person workload)