HyperTeamsCost Reduction
Global Price Research Automation
Auto-monitoring of stores worldwide
A case where AI agents automated global price research work for enterprises.
The Problem
Global consumer goods companies need to understand price trends in markets worldwide. But checking prices by country and store is practically impossible. If done by humans, thousands of people would be needed.
- Need to research prices of a huge range of products for major companies like Company S
- Impossible to manually check a huge number of stores across many countries
- Work volume impossible to complete even with all-day effort
- Skilled workers spending time on simple repetitive tasks
AI Solution
Browser agents are AI agents that operate browsers like humans. They automatically search for products on e-commerce sites, check prices, and extract data. Unlike traditional RPA, they adapt themselves when screens change.
- Browser agent: LM-based planning + screenshot/DOM recognition
- Multitasking: Simultaneous research across stores in many countries
- Mixed API + computer use approach to bypass blocks
- Daily price change tracking and auto-report generation
Tech Stack
- Browser Agent
- LM-based Planning
- Screenshot/DOM Recognition
Lessons Learned
- 1Repetitive, high-volume data collection is ideal for AI automation
- 2Computer use agents are more flexible than RPA for screen changes
- 3Freeing skilled workers from simple tasks is the core value
Want to apply this kind of automation to your own work?
Contact our AX consulting team for a customized solution.