Proof of Usefulness Report

Infilect

Analysis completed on 1/23/2026

+527
Proof of Usefulness Score
Industry Mainstay

Infilect is a verified Series A retail AI company with ~$2M annual revenue, ~$3M in funding, and ~70 employees. The project solves a significant high-value problem (retail execution) with legitimate enterprise clients (P&G, Samsung). However, the submission itself was of very low quality (e.g., claiming 'most people' have used it and audience is 'everyone'), necessitating significant penalties to Quality Factors (Qi). The final score reflects a strong underlying business (comparable to or larger than the benchmark) heavily penalized for a negligent submission.

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Score Breakdown

Real World Utility+21.25
Audience Reach Impact+5.0
Technical Innovation+12.0
Evidence Of Traction+11.25
Market Timing Relevance+7.5
Functional Completeness+0.25
Subtotal57.25 (Scaled to 1000-basis: 572.5)
Usefulness Multiplierx0.92
Final Score+527

Project Details

Project URL
Description
Infilect Technologies specializes in deriving intelligence by parsing large-scale visual content such as photos and videos using proprietary deep learning and artificial intelligence technology and provide highly scalable automation and analytics solutions for the global retail industry.\n\nInfilect products empower retail decision makers with in-store execution data (e.g., placement of products on retail shelves) \u0026 insights (e.g., share of shelf of a brand) at scale, speed, and accuracy. With data and insights from a large number of stores, merchandising actions are triggered on daily basis that reduce out-of-stock, reduce over-stock, improve per-store sales by 10%, and reduce marketing spend by 30%. The store execution data is captured as photos and videos by sales representatives of CPG/FMCG brands using mobile Apps when they visit stores on their regular sales calls. The photos and videos are processed using a custom retail-specific computer-vision AI stack that identifies every SKU from every shelf for both modern-trade as well as general-trade stores.\n\nOur impact: 10% increase in same-store sales, 25 X ROI, 5 X faster, \u003e 95% AI accuracy (\u003e 10% accurate than competition), 5% reduction in out of stock (economic growth), 10% reduction in over stocking (sustainable growth)\n\nOur customers: Kimberly Clark, Britannia, Samsung, Heineken, GFK, AbInBev, Pepsico, Nestle, P\u0026G

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