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

Shelf Eye computer vision module

We know your main problem is the lack of actual information about what is happening on your shelf at the outlet!

80%

of photos remain unprocessed and are not used for their intended purpose

90%

of photos are not processed in due time and do not allow making the right decisions

30%

of photos are of poor quality and do not allow assessing the actual situation on the shelf

Monitor your target KPIs with Shelf Eye

Shelf analytics

  1. your brand / subbrand / SKU share on the shelf
  2. you competitors’ brand / subbrand / SKU share on the shelf
  3. incompliance reasons: out-of-stock, broken equipment, etc
  4. gaps detection
  5. price tag recognition

Choose the suitable analytics format

Shelf Eye provides analytics in the required format (.JSON, .CSV, etc.) in the Goods Checker app and can also send data through API or connect to your BI system.

Online analytics

Process photos taken by a merchandiser at the sales outlet using the Goods Checker app or with a customer’s existing app integrated with Goods Checker.

Online analytics allows monitoring the achievement of the required KPIs in real time and respond promptly to an emergency.
Online analytics is available immediately after the photos are uploaded.

On average, the project start-up time is 2 weeks and more (depending on the customer’s parameters).

Offline analytics

Process photos that are already collected on your server, FTP, Google Drive or other data warehouse.

With offline analytics, you can swiftly process already accumulated data. Analytical reports are easy to obtain without significant changes in business processes.

Offline analytics results are generated once a day.

Project start-up time is significantly reduced due to the lack of customization of applications and no need to change business processes.

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

Up to 7%

increase in sales of the
FMCG manufacturer in retail

100%

processing of all visits of merchandisers to retail outlets

Up to 45%

reduction in audit and
data processing time

FAQ

Can I customize analytics to suit my needs?

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.

What are the reporting forms?

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).

How fast are analytical reports generated?

Goods Checker allows users to obtain analytical data from outlets in real time immediately after uploading photos to the server.

Who receives the reports?

Analytics is available for different categories of users: managers, supervisors, executives.

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