AI TOOL PROFILE

Grabit: Retail Loss Prevention Software

Grabit helps retail and grocery store operators reduce unknown losses through automated produce recognition. It is designed for supermarkets that want to digitize checkout processes without using RFID tags.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Retail stores, Grocery stores, Supermarkets
Key use cases
Fresh Produce Loss Prevention, Self-Checkout Support, Checkout Lane Digital Workflow
Visit grabitgrabit software interface screenshot

How AI is used

Grabit is a computer vision tool designed for the retail and grocery sectors. Its g·Fresh product uses deep learning and AI to identify fresh produce at checkout points, which may help reduce shrinkage caused by incorrect item entry.

The software is intended for supermarkets and grocery stores that manage a high volume of un-tagged produce. It is developed to run on NVIDIA Jetson edge AI hardware, allowing processing to occur locally at the store level.

Grabit supports integration with retail infrastructure, including smart scales and self-checkout terminals. This helps the system identify items as they are weighed or scanned to support digital checkout workflows.

Buyers should confirm hardware requirements, as the software is optimized for NVIDIA GPUs and Jetson edge platforms, which may require specific equipment investments.

Key Features

  • Autonomous Produce Recognition

    Uses computer vision and deep learning to identify fresh produce items automatically.

  • Edge AI Optimization

    Designed to run on NVIDIA Jetson hardware for local inference and processing.

  • RFID-Free Identification

    Identifies products via visual recognition without requiring RFID tags on produce.

  • Retail Infrastructure Support

    Designed to work with smart scales, checkout lanes, and self-checkout terminals.

Use Cases

  • Fresh Produce Loss Prevention

    Identifying produce at checkout to help reduce unknown retail losses and shrinkage.

  • Self-Checkout Support

    Integrating vision AI into self-service kiosks to help customers identify produce.

  • Checkout Lane Digital Workflow

    Supporting staff at checkout lanes by recognizing produce items on smart scales.

FAQ

What does Grabit do for supermarkets?

Grabit uses computer vision and deep learning to automatically recognize fresh produce at checkout, which helps reduce unknown retail losses.

Does Grabit require RFID tags to work?

No, the system is designed to identify products through visual recognition without the need for RFID tags.

What hardware is required for Grabit?

Grabit is developed to run on edge hardware, specifically the NVIDIA Jetson family and NVIDIA GPUs.

Source category: Operations

Source subcategory: Computer Vision

More tools in Operations

Other published listings in the Operations category.

Browse all tools in Operations

More tools in the Computer Vision software type

Related listings that share the same software type for comparison and shortlisting.

Browse all Computer Vision software type tools