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4RM Tech—in-house software development, including the STEMMA platform, AI modules, machine vision and digital analytics solutions, and the development of operating systems for retail. 4RM Tech is a provider of digital solutions and the technological foundation of the division, enabling its growth as an ecosystem-based provider of solutions for digital commerce, logistics, and urban infrastructure.
4RM Tech develops a line of high-tech software solutions tailored to the needs of modern retail:
All retail solutions from the manufacturer of commercial equipment comply with the requirements of EGAIS, Federal Law No. 54, and FFD 1.2, and support API integration, local area networks (LAN), and integration with 1C and SAP.
For questions regarding the implementation of infrastructure solutions, please contact 4RM managers at +375 44 558-44-44, info@4rm.org. They will help you find solutions based on your specific needs and business requirements.
We offer digital solutions for automating and managing retail processes in stores and chains. Our product lineup includes:
Digital technologies help automate key in-store processes and improve operational efficiency.
With their help, you can monitor inventory levels, analyze customer behavior, reduce shrinkage and prevent fraud, manage equipment and staff workstations, and obtain centralized analytics across all retail locations.
As a result, businesses achieve more transparent management, improve service quality, and optimize operational processes.
Yes, our digital solutions are suitable for both small stores and large retail chains. The systems can be implemented gradually and scaled as your business grows—from a single store to an entire chain.
Even small stores are actively adopting self-service and automation technologies because they help speed up service, reduce lines, and ease the workload on staff.
Yes, it is possible—we suggest starting with a pilot project.
This approach allows you to implement digital solutions gradually: test the functionality at one or more locations, evaluate the results, and then scale the system across the entire network.
Need some advice?
Send a request and we will call you back.