Shelf Monitoring
Vision AI for automated real-time shelf inventory management
Real-time shelf management
Zero pre-training AI
Vision AI algorithm compares Real-o-gram data, eliminating costly and time-consuming pre-training phases.
Max on-shelf availability
Detect out-of-stock and misplaced items, and alert staff for shelf action.
GDPR-compliant privacy
Protects customer privacy through AI-powered face masking that anonymises shopper data.
Newton Eye: Never Miss a Sale with Intelligent Shelf Visibility
Designed to detect out-of-stock, low-stock and misplaced products without pre-training or manual scanning, Newton Eye automates visual shelf checks and minimises labour-intensive processes.
Automated, privacy-safe shelf checks from a plug-and-play sensor
Inventory visibility
Periodically captures and analyses shelf images at configurable intervals to automatically identify out-of-stock, low-stock and misplaced products.
Zero pre-training system
Deploy faster across stores with no training or setup complexity. With plug-and-play installation and automatic ESL pattern-based product mapping, Newton Eye eliminates the need for pre-trained datasets or manual learning.
Designed to recharge
Rechargeable via USB-C for long-term use, eliminating battery replacement. Delivers 1.3 years of operation based on 15 images per day, with adjustable frequency.
Trust with better visibility
Gain real-time visibility and strengthen compliance across stores while protecting customer privacy through AI-powered face masking.
What happens without shelf monitoring
Lost sales & shopper frustration
Out-of-stocks and misplacements can lead to lost sales, shopper frustration and operational inefficiencies.
Inefficient manual labour
Slow, error-prone manual shelf checks can waste staff time and reduce operational efficiency.
Complex AI deployment
Traditional Vision AI can require extensive pre-training, slowing deployment.
FAQ
Read our FAQs about Shelf Monitoring.
1
What is Newton Eye shelf monitoring?
A plug-and-play vision AI sensor that watches opposite shelves to detect out-of-stock, low stock, and misplaced items in near real time. It sends alerts so staff can replenish quickly and keep shelves full.
2
How is it different from typical camera systems?
It needs no pre-training or manual labeling. The device maps products automatically, analyzes images on a schedule, and protects privacy with on-device face masking that is GDPR compliant.
3
What results can retailers expect?
Higher on-shelf availability, faster replenishment, and less manual scanning. Stores get actionable alerts and compliance visibility. The unit recharges via USB-C and can operate roughly 1 to 3 years at about 15 images per day with adjustable capture frequency.
