Solutions based on machine learning
info@i-neti.ru
+358923165810
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Neti Retail solution, using the technology of computer vision, becomes a unique tool to reveal the problems in goods layout on a store’s shelf, and to control correction of these problems at the level of each SKU, Brand and Product category.

The system recognizes goods on shelves, counts their number, and provides a detailed analysis of a brand’s positioning at a sales point and of work efficiency of a sales representative.

THE FOLLOWING ANALYTICS WILL BE AVAILABLE TO YOU:

Exposure
- Availability of goods on shelves
- Absence of goods on shelves
- Share of shelf space
- Distribution
Position
- Location of goods
- Layout standards
- Brand-blocks
- Eye level
Planogram
- Monitoring number of facings
- Monitoring share of shelf space
- Monitoring orderliness on shelves
Promo
- Promotional materials
- Additional points of sales
- Discounts
- Promotions
Price
- Price monitoring
- Types of price tags
- Observation of recommended prices
- Price indexes by competitors

HOW IT WORKS?

After implementation of our solution all interaction with the system includes only several steps that require minimal time and personnel

THE SYSTEM’S ADVANTAGES

Time saving for employees and sales representatives

Staff downsizing and reduction of corresponding living costs

Rapid response to the situation within a retail outlet

Effective use of promotional materials

Timely adjustment of goods layout in a store

Reduction of empty shelves share and rise in sales

WHY NETI RETAIL?

Speed – you get a report within 20 seconds

Integration with your systems: SFA, BI, ERP etc.

Quick start – 1 month for launch of 1,000 SKU

Accuracy – we guarantee accuracy of 95 % at SKU level

High performance at any number of photographs per month

Flexibility – you may pay for photographs, visits or at a fixed pattern

BENEFITS

Labor costs for shelf monitoring are decreased by 80 %

STILL HAVE QUESTIONS?

Contact Natalia and she

will tell you more about

application recognition of goods

on shelves by means of computer vision

for your business

Natalia

Business development manager