대체단백질 원료 추적성 플랫폼 — 공급망 투명성 요구 강화
TraceGains, FoodLogiQ — 식품 공급망 추적 SaaS 4.1★
Upwork: recurring data entry — tracking ingredient lot numbers from suppliers to finished products
Alternative food manufacturers must track plant-based ingredients (pea protein, oat base, etc.) by lot for origin, allergen, and GMO status, but they receive supplier COAs (Certificates of Analysis) via email and manually enter them into Excel. In the event of cross-contamination, tracing the source lot takes days, and generating FDA/MFDS submission documents takes 3-5 days each time.
When suppliers upload COAs, the system automatically parses them to generate a lot tree from raw materials to semi-finished to finished products, and auto-tags allergen and GMO information. In a recall, it traces affected lots with one click and auto-generates regulatory submission forms. As lot data accumulates, quality deviation patterns by supplier become evident.
| 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. |