Proof of Usefulness Report

Shoptelligence

Analysis completed on 1/29/2026

+453
Proof of Usefulness Score
Industry Mainstay

Shoptelligence is a verified Series A retail-tech company (est. 2015) with approximately $2.8M in annual revenue and ~15-20 employees. The company provides AI-powered style discovery tools for major home furnishing retailers (e.g., American Furniture Warehouse), demonstrably increasing Average Order Value (AOV). While the project's real-world traction is strong and verifiable via external data, the submission itself contained low-quality, exaggerated claims (e.g., audience reach of 'everyone', traction claim 'most people have used my product'), which negatively impacted the Response Quality and Audience Reach scores.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+18.75
Audience Reach Impact+5.00
Technical Innovation+9.00
Evidence Of Traction+11.25
Market Timing Relevance+7.00
Functional Completeness+0.50
Subtotal+51.5
Usefulness Multiplierx0.88
Final Score+453

Project Details

Description
Shoptelligence is the first retail tech provider of an artificially intelligent (AI) style assistant that delivers style-based shopper experiences that surprise and delight shoppers, individually. As a trusted Style Discovery Platform for apparel and home furnishing retailers, we bridge the gap between physical and digital, and integrates outfit/decor inspiration into both digital and brick and mortar shopping channels. The solution has proven to enhance shopper engagement, provide valuable shopper insights, and measurably increase average order value (AOV) for retailers.\n\nOur solution translates retailers' most basic product data into an interactive style discovery experience for shoppers. We make shopping fun again by developing intelligent technology and intelligent style experiences that shoppers and retailers love.\n\nShoptelligence has grown from 2 employees to over 10 since its first customer launch in April 2017 and has received external funding to accelerate growth.

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