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With a wave of telecom AI solutions unveiled at MWC, Korean telecom carriers and MVNOs are evaluating AI adoption, but struggle to quantify the ROI (operational efficiency gains vs. deployment costs) of each solution. AI solution vendors (10–30 employees) also spend 1–2 weeks per deal calculating customer-specific ROI for proposals, and over 50% of pitches fail due to lack of objective supporting evidence.
A tool where telecom AI solution vendors (1) input a prospect's infrastructure scale (number of base stations, subscribers, ARPU), (2) auto-generate cost-benefit models by solution type (network optimization, churn prediction, fault prediction, etc.), and (3) produce a proposal-ready ROI report highlighting competitive differentiators. Built-in Korean telecom market benchmark data provides a key advantage.
| 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. |