Shelf Eye computer vision module
Use artificial intelligence to recognize your products on the shelf or out-of-shelf
Analyze data with breakdown by SKU, outlets, merchandisers in real time
We know your main problem is the lack of actual information about what is happening on your shelf at the outlet!
of photos remain unprocessed and are not used for their intended purpose
of photos are not processed in due time and do not allow making the right decisions
of photos are of poor quality and do not allow assessing the actual situation on the shelf
With Shelf Eye you get real-time analytics
- your brand / subbrand / SKU share on the shelf
- you competitors’ brand / subbrand / SKU share on the shelf
- incompliance reasons: out-of-stock, broken equipment, etc
- gaps detection
- price tag recognition
Shelf Eye analyzes the SKU
from the first day it goes on sale
One render is enough
for Shelf Eye to start recognizing the SKU
We continuously monitor the recognition process quality
Results of using Shelf Eye by your company
Users can access reports and analytics through a web browser. Customizable analytics visualization is available. The module gives a complete picture of the perfect store, calculating various KPIs that can be configured in accordance with business requirements, for example, the percentage of planogram compliance, product availability, share of shelf space, etc. Support of integration with customer BI systems – Qlik, Tableau etc.
Goods Checker generates analytical reports both in a detailed form (report for a store, employee, product) and in an aggregated form (report for a region, retail chain, time period), and can be presented over time (comparison with a past period).
Goods Checker allows users to obtain analytical data from outlets in real time immediately after uploading photos to the server.
Analytics is available for different categories of users: managers, supervisors, executives.