HyperTeams4% Revenue Increase with Dynamic Price Management
Validated with 10 billion won scale test
4%↑
Revenue Validated
10B won
Test Scale Orders
P×Q
Optimization Real-time
A case where AI adjusted prices in real-time during open market/price comparison site lowest price competition, increasing revenue by 4%. Validated with 10 billion won order processing test.
The Problem
In open markets or price comparison sites, the lowest price for identical products is shown first. But when 2nd place sells at 20,000 won, there's no need to sell at 18,000 won. Selling at 19,990 won is still 1st. Such optimization is impossible manually.
- Excessive price cuts in open market/price comparison site lowest price exposure competition
- Missing price adjustment timing causing margin loss
- Unable to sense competitor prices in real-time
- Complex overlapping logic for price/discount/card discounts
AI Solution
Ontology is a database of relationships and logic for prices, discounts, card discounts, etc. AI follows this logic to automatically make complex judgments like 'Does specific card 7% discount apply overlapping?'
- Real-time competitor price tracking
- Ontology-based price logic (price/discount/card discount overlap judgment)
- Auto price adjustment: Avoid lowest price or enter competition strategy
- Maximize revenue/margin through P×Q optimization
Adjusting 18,000 won → 19,990 won while maintaining order volume. Margin maximization from brand perspective.
Lessons Learned
- 1Revenue/margin increase has the biggest business impact
- 2Ontology structures complex business logic for AI understanding
- 3Real-time sensing + auto-adjustment is key (impossible manually)
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