Privacy-First WiFi Spatial Intelligence for Retail Analytics
Retail stores need foot traffic analytics but camera-based solutions face privacy backlash and regulatory pressure. RuView (60k GitHub stars) demonstrates WiFi-based spatial sensing is technically viable without cameras. Retailers need a turnkey SaaS that provides heatmaps, dwell time, and conversion funnels from existing WiFi infrastructure.
Problem Statement
Retail managers rely on door counters (no spatial data) or camera systems (privacy concerns, expensive hardware, regulatory risk). WiFi sensing was previously military-grade; now open source makes it accessible, but retailers need managed deployment, calibration, and analytics dashboards.
The Idea
A privacy-first retail analytics platform that uses existing WiFi access points to provide store heatmaps, customer journey maps, and conversion funnel analytics without any cameras or personal data collection.
Why Now
GDPR enforcement increased 40% in 2025, making camera analytics legally risky in EU. RuView's open source release proved WiFi sensing works at commercial quality. Major retailers are removing facial recognition systems under public pressure but still need spatial data for store optimization.
Target User
Retail operations managers and store planners at mid-market retail chains (20-200 locations) who need spatial analytics without privacy compliance headaches.
Target Market
Retail analytics and store optimization technology market
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- Score rationale across 11 dimensions
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- Acquisition channels & go-to-market
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