R&D
Forcom Robot
An autonomous robot for shelf monitoring.

Key benefits
Maximize efficiency and minimize losses with Forcom Robot – the cutting-edge solution for automated shelf monitoring.
Improved planogram execution
Reduced labor cost
Shelf insights in a central system
Reduced losses due to out of stocks

Project:
"Development of an innovative, autonomous mobile robot for retail stores"
Grant Agreement Number:
POIR.01.01.01-00-0102/20-00
Eligible Expenditure Amount:
7,386,270.00 PLN
EU Funding Amount:
4,383,303.63 PLN
"Development of an innovative, autonomous mobile robot for retail stores"
Grant Agreement Number:
POIR.01.01.01-00-0102/20-00
Eligible Expenditure Amount:
7,386,270.00 PLN
EU Funding Amount:
4,383,303.63 PLN
Project Objective:
The R&D project involves the development, construction, and testing of an autonomous mobile robot for retail stores, featuring elements of innovation on a global scale. The target group includes retail chains in the FMCG sector, such as grocery stores or drugstores. The aim of the project is to develop a robot that autonomously navigates the store, tasked with analyzing shelves to verify product price labels, building a map of product placement on shelves, verifying it against a defined planogram, and detecting product shortages on shelves. The robot will operate both before the store opens and during business hours when customers are present. The product addresses the need for automation of labor-intensive and control-demanding processes, such as ensuring the currency of price labels, verifying product arrangement compliance with the planogram, and continuously detecting product shortages on the shelf.
The R&D project involves the development, construction, and testing of an autonomous mobile robot for retail stores, featuring elements of innovation on a global scale. The target group includes retail chains in the FMCG sector, such as grocery stores or drugstores. The aim of the project is to develop a robot that autonomously navigates the store, tasked with analyzing shelves to verify product price labels, building a map of product placement on shelves, verifying it against a defined planogram, and detecting product shortages on shelves. The robot will operate both before the store opens and during business hours when customers are present. The product addresses the need for automation of labor-intensive and control-demanding processes, such as ensuring the currency of price labels, verifying product arrangement compliance with the planogram, and continuously detecting product shortages on the shelf.
The project is co-financed by the European Union from the European Regional Development Fund under the Intelligent Development Program.
The project is implemented as part of the National Centre for Research and Development's Fast Track competition.
The project is implemented as part of the National Centre for Research and Development's Fast Track competition.