Dubai Exhibition Lead Harvester

3.20

Derivation Chain

Step 1 Expansion of Korean companies' participation in Dubai exhibitions

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Step 2 Lead management for exhibition participants

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Step 3 Automated follow-up CRM for exhibition leads

Problem

Korean medical device and IT SMEs with annual revenue of 1-5 billion KRW (approx. $750K-$3.75M) participating in Middle East exhibitions like WHX Dubai spend 1-2 weeks manually organizing 200-500 business cards and QR leads collected over 3 days into Excel and individually writing English follow-up emails. Research shows that failing to follow up within 72 hours after the exhibition reduces lead conversion rates by over 60%.

Solution

A mobile app that instantly OCR-processes business card photos and QR codes captured at the exhibition, inputs them into CRM, automatically classifies lead grades, and generates and sends personalized English and Arabic follow-up emails via LLM. It automatically calculates exhibition ROI reports (cost per lead, conversion rate).

Target: Overseas sales managers at Korean medical device and IT SMEs with annual revenue of 1-5 billion KRW (approx. $750K-$3.75M) that participate in 1-3 overseas exhibitions per year.

Revenue Model: Per exhibition license: 199,000 KRW per event (approx. $149.25) (includes 500 leads), additional leads 200 KRW per lead (approx. $0.15), annual subscription (5 exhibitions) 799,000 KRW (approx. $599.25).

Ecosystem Role: Supplier

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

3.0/5

R Realizability

3.0/5

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 (70%)

Tech Complexity

29.3/40

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 (56/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

7.0/10

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

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

Dashboard