B

HBM Supply Chain Delivery Schedule Tracker

3.55

Derivation Chain

Step 1 Broadcom's AI 3.5D XDSiP shipment
Step 2 HBM semiconductor supply chain management
Step 3 2nd and 3rd tier vendor delivery schedule visibility tool

Problem

Domestic 2nd and 3rd tier component and material suppliers (30-200 employees) participating in the HBM and advanced packaging supply chain receive shipment schedule changes from first-tier vendors like Broadcom, SK Hynix, and Samsung in a fragmented manner via email and phone, leading to an average of 2-3 delivery misses per month due to delayed material preparation. The penalty for each delay amounts to 1-3% of sales.

Solution

A dashboard that crawls semiconductor supply chain news (The Elec, Electronic Times, Bloomberg) in real time to detect shipment and mass production schedule changes at major companies, automatically matches them with our company's delivery calendar, and indicates the impact. Integration with Slack/KakaoWork notifications enables immediate response.

Target: Sales and SCM managers at 2nd and 3rd tier component suppliers for HBM and advanced packaging (SMEs with 30-200 employees)
Revenue Model: SaaS monthly subscription: 190,000 KRW (~$143) per team (5 people), Enterprise (20 people) at 490,000 KRW (~$368) per month. 15% discount for annual payment.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
3.0/5
R Realizability
3.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
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.

Market Validation (51/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
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.

Technical Requirements

Data Pipeline [medium] Backend [medium] Frontend [low]
Dashboard