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Domestic 2nd and 3rd tier component and material suppliers (30-200 employees) participating in the HBM and advanced packaging supply chain receive shipment schedule changes from first-tier vendors like Broadcom, SK Hynix, and Samsung in a fragmented manner via email and phone, leading to an average of 2-3 delivery misses per month due to delayed material preparation. The penalty for each delay amounts to 1-3% of sales.
A dashboard that crawls semiconductor supply chain news (The Elec, Electronic Times, Bloomberg) in real time to detect shipment and mass production schedule changes at major companies, automatically matches them with our company's delivery calendar, and indicates the impact. Integration with Slack/KakaoWork notifications enables immediate response.
| 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. |