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People in their 50s-60s continue to consume processed foods they regularly buy at the supermarket (such as Hatbahn, Bibigo, etc.) even when recall or retrieval orders are issued. The Ministry of Food and Drug Safety posts recall notices only on its website, and news coverage is one-off, making it easy to miss. In particular, 50s in single- or two-person households rely heavily on convenience foods, increasing their risk of exposure to recalled products.
On the web, users register frequently purchased food brands/products, and receive immediate alerts when the Ministry of Food and Drug Safety issues recalls, retrievals, or nonconformity determinations. When users input expiration dates, the service determines whether the specific lot number is affected. It also recommends alternative products.
| 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. |