Recoshelf
Recoshelf is a computer vision startup focused on the retail execution market. They provide a solution using smart cameras and AI to automate store operations, including monitoring product availability (Out of Stock - OOS), planogram compliance, and pricing. Their system recognizes products on shelves in seconds, identifies unhealthy or dangerous ingredients, and allows for product comparison based on nutritional value. Recoshelf aims to free up store personnel from routine tasks, leading to increased sales (up to 5-7%), reduced operational costs, and improved customer loyalty by ensuring shelves are stocked and prices are correct. They have received governmental funding and awards, including from the Ukrainian Startup Fund and AWS for AI in retail.
Recoshelf
Recoshelf is a computer vision startup focused on the retail execution market. They provide a solution using smart cameras and AI to automate store operations, including monitoring product availability (Out of Stock - OOS), planogram compliance, and pricing. Their system recognizes products on shelves in seconds, identifies unhealthy or dangerous ingredients, and allows for product comparison based on nutritional value. Recoshelf aims to free up store personnel from routine tasks, leading to increased sales (up to 5-7%), reduced operational costs, and improved customer loyalty by ensuring shelves are stocked and prices are correct. They have received governmental funding and awards, including from the Ukrainian Startup Fund and AWS for AI in retail.
TL;DR
Sector: Retailtech — computer vision + IoT for store-shelf monitoring
Founded: January 23, 2020
Headquarters: Tallinn, Harju maakond, Estonia
Core product: AI/IoT camera system for product recognition, out-of-stock and planogram monitoring
Team size (reported): 3 employees
Notable investors / support: Think Bigger Capital; Ukrainian Startup Fund; Polish Agency for Enterprise Development
Company Overview
Problem Domain
Retail execution: shelf monitoring, out-of-stock detection, planogram compliance, pricing accuracy, and consumer-facing product health filtering.
Founded
2020
Industry
Retail technology / Computer vision
Tech Stack
Funding Track Record
Most recent announced round listed as Pre-Seed (Crunchbase).
100000 EUR
Company announcement of investment.