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.
At a glance
- Category
- Operations
- Best for
- Retail stores, Grocery stores, Supermarkets
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Fresh Produce Loss Prevention, Self-Checkout Support, Checkout Lane Digital Workflow
- Official website
- grabit.ai
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
Uses computer vision and deep learning to identify fresh produce items automatically.
Designed to run on NVIDIA Jetson hardware for local inference and processing.
Identifies products via visual recognition without requiring RFID tags on produce.
Designed to work with smart scales, checkout lanes, and self-checkout terminals.
Use Cases
Identifying produce at checkout to help reduce unknown retail losses and shrinkage.
Integrating vision AI into self-service kiosks to help customers identify produce.
Supporting staff at checkout lanes by recognizing produce items on smart scales.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Grabit uses computer vision and deep learning to automatically recognize fresh produce at checkout, which helps reduce unknown retail losses.
No, the system is designed to identify products through visual recognition without the need for RFID tags.
Grabit is developed to run on edge hardware, specifically the NVIDIA Jetson family and NVIDIA GPUs.
Source category: Operations
Source subcategory: Computer Vision
