MWC Booth Visitor Follow-up Automation

3.65

Derivation Chain

Step 1 MWC 2026 AI Telecom Exhibition

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Step 2 Increase in Korean Participating Companies

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Step 3 Automation of Booth Visitor Lead Follow-up

Problem

Korean SME and mid-sized ICT companies (20-100 employees) participating in MWC 2026 take 2-3 weeks after the exhibition to organize business cards and QR leads collected at their booths into Excel and send individual emails, so follow-up only begins after leads have cooled off. The actual meeting conversion rate is less than 5% relative to exhibition participation costs, making ROI calculation difficult.

Solution

(1) Register leads in real time into CRM via business card OCR and badge QR scanning, (2) automatically send personalized follow-up email sequences based on product interests and conversation notes, (3) quantitatively track performance with an exhibition ROI dashboard (lead count → meetings → contract pipeline).

Target: Marketing and overseas sales teams at ICT SMEs and mid-sized companies with 20-100 employees that attend at least one overseas exhibition per year.

Revenue Model: Per-event billing: 190,000 KRW (~$142.50) per exhibition (up to 500 leads), additional leads at 200 KRW (~$0.15) each. Annual subscription: 39,000 KRW (~$29.25) per month (includes 3 exhibitions + regular CRM features).

Ecosystem Role: Consumer

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

4.0/5

M Market

3.0/5

R Realizability

5.0/5

V Validation

3.0/5

NUMR-V Scoring System

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.

N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (76%)

Tech Complexity

34.7/40

Data Availability

20.8/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

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.

Market Validation (59/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

8.0/10

Validation Breakdown

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.

Technical Requirements

Backend [medium] Frontend [low] AI/ML [low]

Dashboard