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
Detects OOS/misplaced items, alerts staff for immediate shelf management.
GDPR Compliant Privacy
Protects customer privacy through AI-powered face masking that anonymizes shopper data.
Newton Eye : Never Miss a Sale with Intelligent Shelf Visibility
Designed to detect out-of-stock, low-stock, and misplaced products without the need for pre-training or manual scanning, Newton Eye automates visual shelf checks and minimizes labor-intensive processes
Automated, Privacy-safe Shelf Checks from a Plug-and-Play Sensor
Inventory Visibility
Works by periodically capturing and analyzing 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 zero training or setup hassle. 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 C-type for permanent use, eliminating battery replacement. Delivers 1.3 years operation (15 images/day) with adjustable frequency.
Trust with Better Visibility
Gain real-time visibility and strengthen compliance across stores, protecting customer privacy through AI-powered face masking.
What Happens without Shelf Monitoring
Lost Sales & Shopper Frustration
Out-of-stocks and misplacements lead to lost sales, shopper frustration, and inefficiencies.
Inefficient Manual Labor
Slow, error-prone manual shelf checks waste staff time and hinder efficiency.
Complex AI Deployment
Traditional Vision AI demands extensive pre-training, slowing deployment.
FAQ
Explore frequently asked questions 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.
