Retrofitted paper-based shelf sensors for real-time inventory monitoring, maximizing shelf availability, reducing shrink, and enabling omnichannel retail media.
Current Status
We have two pilots coming up with the two largest retailers in Portugal in the next 2-3 months.
We have very strong interest from multiple partners globally in different applications, which we are holding until capital raise.
Problem or Opportunity
PaperWeight AI is solving the $1.8 trillion global retail problem of out-of-stocks and inventory distortion — which leads to lost sales, wasted labor, and shrink. We do this by offering Inventory as a Service: real-time shelf visibility using ultra-thin, low-cost, retrofittable paper-based sensors that detect shelf activity (like low stock, theft, or misplacements) and stream data to retailers' systems with minimal friction and cost.
Solution (product or service)
We deploy ultra-thin paper sensors that retrofit onto any shelf in minutes, transforming it into an intelligent, real-time sensing platform. Our solution is scalable, cost-effective, and delivers continuous shelf-level data to detect stockouts, misplacements, and theft—enabling retailers to eliminate lost sales, optimize operations, and power retail media with real availability data.
Business model
Hardware (shelf sensors) enabled SAAS (subscription), direct to retailers, or through channels such as system integrators and solution providers.
