B

MWC Trend Briefing Bot

3.15

Derivation Chain

Step 1 MWC 2026 telecom/AI technology exhibition
→
Step 2 MWC trend analysis service
→
Step 3 Real-time trend curation bot for B2B decision-makers

Problem

Mid-level managers (team leads/directors) at telecom/IT companies spend 20-30 hours per trade show reading dozens of English-language articles to identify trends from global tech exhibitions like MWC and CES, then preparing internal reports. The full cycle—decoding English articles, mapping relevance to their company's business, and writing executive summary reports—takes 1-2 weeks per event.

Solution

A Slack/email bot that collects and summarizes relevant articles and announcements in real time during global tech exhibitions, automatically mapping them to the client company's business areas. (1) Real-time article collection per exhibition + AI summarization, (2) relevance scoring based on client business keywords, (3) auto-generated executive briefing slides.

Target: Strategy planning and technology planning team leads at telecom/IT/manufacturing companies with 50-500 employees
Revenue Model: Exhibition season package at 390,000 KRW (~$290)/exhibition (MWC, CES, IFA, etc.) or annual subscription at 1,490,000 KRW (~$1,115)/account. Target ARR of 150M KRW (~$112K) upon securing 100 corporate clients
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (51/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
8.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Data Pipeline [medium] AI/ML [medium] Frontend [low]
Dashboard