B

Robotics Public Procurement Bid Assistant

3.20

Derivation Chain

Step 1 Government's public procurement AI/robotics innovation catalyst policy
→
Step 2 Public bidding entry barriers for robotics companies
→
Step 3 Public bid document automation for small-to-mid robotics companies

Problem

As the government promotes preferential treatment for AI and robotics innovation products in public procurement, demand for public bidding among small-to-mid robotics companies is surging. However, preparing procurement specification documents and proposals takes an average of 2-4 weeks with outsourcing costs of $2,250-$6,000 (~300-800만원). Companies with 10-30 employees especially lack dedicated bid teams, causing them to either miss bidding opportunities or get disqualified for specification mismatches in over 40% of cases.

Solution

Automated monitoring of Korea Public Procurement Service (KONEPS/Nara Marketplace) bid announcements with: (1) company profile-based matching and alerts for suitable bids, (2) auto-mapping of specification items and proposal draft generation, (3) competitive pricing analysis Reports based on past winning bid data. Differentiated by 120 built-in bid specification templates specialized for robotics and AI.

Target: Sales and business development managers at robotics/AI manufacturing SMEs with 10-50 employees, ages 30-40s
Revenue Model: SaaS Monthly Subscription at $74/month (~9.9만원) for bid monitoring + matching alerts. Auto-generated proposals at $37 (~4.9만원) Per Transaction. 2 months free with Annual Subscription.
Ecosystem Role: Infrastructure
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 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 (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/ 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 (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
5.0/10
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