Proof of Usefulness Report

Sumato-Id

Analysis completed on 1/30/2026

+675
Proof of Usefulness Score
Category Standard

Sumato-Id is a verified, mature B2B retail analytics company (est. ~2013) operating in Latin America (Argentina, Chile, Peru). The project uses computer vision and AI (platform 'Akira') to digitize physical store metrics, serving major enterprise clients like Sodimac and Falabella. While the submission itself was low-quality (vague claims like 'everyone' and 'most people'), independent verification confirms strong traction, media coverage (CNN Chile, DFSUD), and significant real-world utility in the retail sector.

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Score Breakdown

Real World Utility+90
Audience Reach Impact+56
Technical Innovation+70
Evidence Of Traction+72
Market Timing Relevance+85
Functional Completeness+5
Subtotal+70.95
Usefulness Multiplierx0.95
Final Score+675

Project Details

Project URL
Description
Sumato-Id allows to digitize the store, identifying, segmenting and measuring consumer interaction, in a non-invasive way and in real time, managing to increase sales and reduce costs.\nSumato SmartStore Suite has 6 Modules: Sumato VIsitor Traffic, Sumato Emotions, Sumato Advertising, Sumato Heatmap, Sumato DNA and Sumato Labs.

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