RM-5800BS AI

Easy-to-operate AI-powered self-service scale

RM-5800BS AI is a compact and user-friendly self-service scale AI scale that can be easily deployed in various retail settings to deliver efficient and intelligent operation for both loose and bagged items ensuring a frictionless shopping experience for customers.

Intelligent AI recognition system

High accuracy product identification - Customers don’t need to sort through pages of PLU, reduce shrinkage caused by human error and malicious intent.

High speed performance - With the weighing process taking just mere seconds for each item, shoppers' average transaction time is significantly reduced while increasing throughput at the weighing stations.

Wide compatibility – AI learning for both loose and bagged items. each item can be accurately recognized by the system even with different types of clear and eco grocery bags.

Simple interface for smooth self-service operation

The large, touch-panel multi-media display makes this scale easy for customers to use, ensuring a pleasant shopping experience.

AI Training Infrastructure and Security

AI solutions from DIGI Edge Computing are supported by a lean infrastructure that consists of three key elements: Scales, AI Gateway and AI Cloud.

By combining these features, retailers can accelerate learning with a pre-trained library, making deployment easier.

The scales would capture new products and upload them to the AI Gateway prior to training and storing them in the cloud. They act as a layer of security between the organization's network and DIGI AI cloud. The scale utilizes SFTP and HTTP protocols in addition to FTP and TCPIP. This ensures that the information sent between your scale and back-office software remains secure.

The scale recognition can also be used standalone and does not require a server or cloud connection.

Unified scale management with @Label software.

Easily manage scale data and label time with DIGI's @Label software. This cloud-based service allows you to monitor machine status in a single store or over multiple stores. If a machine drops out of service, an alert is sent immediately, contributing to speedy problem resolution.

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