HyperTeamsGlobal Price Research Automation
Auto-monitoring 50 countries, 1,000 stores
70-90%
Cost Savings Operations
1,000+
Throughput Products/day
Skilled
Staff Freedom Focus Strategy
A case where AI agents automated global price research work for enterprises, reducing operational costs by 70-90%.
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 1,000 products for major companies like Samsung
- Impossible to manually check 50+ countries, 1,000 stores
- 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 50+ country stores
- Mixed API + computer use approach to bypass blocks
- Daily price change tracking and auto-report generation
1-minute price research at minimum wage cost. AI agents handle work that would need thousands of humans.
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
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