B

Wholesale Price Negotiation Coach

3.65

Derivation Chain

Step 1 PPI wholesale price surge
→
Step 2 SME suppliers negotiating price adjustments with Enterprise buyers
→
Step 3 PPI data-driven supplier price justification generator + negotiation simulation

Problem

SME suppliers with $2.2M–$22M annual revenue struggle to request price adjustments from Enterprise buyers even when raw material costs rise. Preparing objective supporting data takes 20+ hours on average, and emotionally-driven requests typically result in approved increases covering only 30–50% of actual cost increases.

Solution

Users input PPI sub-item fluctuation data and their cost structure to receive: (1) auto-generated quantitative cost impact reports, (2) industry-specific supplier price negotiation success case templates, (3) AI-powered negotiation simulations (role-playing as an Enterprise buyer) for negotiation skill training. A tool that replaces emotional appeals with data-driven negotiation.

Target: Owners and sales managers at SME manufacturing/food supply companies with $2.2M–$22M annual revenue, ages 30–50
Revenue Model: SaaS monthly subscription at $44/account (5 reports/month), Premium Plan at $73/month (unlimited reports + AI negotiation simulation). First report free.
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
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 (71%)

Tech Complexity
29.3/40
Data Availability
21.7/25
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 (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/ 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

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