공장
inferred: SDS·화학물질 재고관리 소프트웨어 카테고리
inferred: 화학공장 창고담당자 — 입고 원료의 SDS 위험등급과 현재 보관 위치를 건별로 대조
Small chemical plants often manage incoming-material SDS records and physical storage locations in separate files, creating a risk that prohibited material combinations will be placed in the same area. Warehouse staff must manually compare documents with current shelf conditions whenever materials arrive.
The service registers each material container's barcode, hazard classification, quantity, and storage zone, then immediately flags prohibited combinations and zone-limit violations while maintaining a movement history. Over time, movement, warning, and near-miss records reveal site-specific co-storage risk patterns.
| 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. |