Proof of Usefulness Report

Parlevel Systems

Analysis completed on 1/27/2026

+685
Proof of Usefulness Score
Category Standard

Parlevel Systems is a highly successful, verified entity in the Vending Management System (VMS) space, founded in 2012 and acquired by 365 Retail Markets in 2022. The project demonstrates exceptional real-world utility and traction, managing thousands of machines globally. However, the specific submission data provided was low-quality, with vague claims (audience reach: 'everyone') and inaccurate technology tags ('investing'), which negatively impacted the Quality Factors for Reach, Innovation, and Response Quality despite the verified success of the business.

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Score Breakdown

Real World Utility+22.5
Audience Reach Impact+11.9
Technical Innovation+5.6
Evidence Of Traction+20.0
Market Timing Relevance+8.5
Functional Completeness+0.5
Subtotal+69.0
Usefulness Multiplierx0.99
Final Score+685

Project Details

Description
Only 5% of the 5.5M vending machines in the U.S. are connected to a management system. The rest are managed with educated guesswork. Vending machine operators set arbitrary restock routes for each location, and best guess on how much product to take for the refills. They often service machines that haven't sold product or have been broken for weeks, meaning inefficient servicing and lost sales. Current solutions are very expensive and hard to use. They have \u003e2 year ROI, and take up to a year to implement\nWith ParLevel, operators can have access to accurate sales data and cash accountability, inventory controls, breakdown alerts, and intelligent re-stock routes. ParLevel offers vendors a web-based management system where they can finally see in real-time what machines need service, how much product they need, and breakdowns. We take the guesswork out of their operations.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline