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Small business owners in household goods and general merchandise with annual sales of 100 million to 1 billion KRW (approx. $75,000 to $750,000) must manually check prices across dozens of competitive channels daily to respond to rapid price cuts from value-for-money channels like Daiso, Cheonwon Mall, and AliExpress. This takes an average of 5-8 hours per week, and missing price changes frequently causes margins to drop by 10-15%.
It automatically crawls price changes by category from major value-for-money channels such as Daiso, Cheonwon Mall, Coupang, and Ali, providing daily reports and automatically calculating a price competitiveness index for your products. When competitor prices drop below a certain threshold, it sends immediate alerts to help you adjust prices proactively.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |