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Eagle | Case Study | Svitla Systems





Web, Mobile, Embedded, DevOps, QA


Computer and mobile accessories, Digital Marketing


Android SDK, Java, PHP, Amazon, HTML5, CSS, JavaScript

Project type



This product was an innovative Information system for managing visual data from Point of Sales (POS) for large corporations. This innovative system allowed collecting and processing images of products in ​large number of POS. The Android mobile application was designed and installed in the field representatives’/merchandisers’ devices of the one of the largest international Fast Moving Consumer Goods (FMCG) companies to enable merchandisers to capture images right from the field, send them to the company’s servers, and convert them into the format used for subsequent data mining and analysis. The App helped merchandisers take photographs of shelves with the company’s Stock Keeping Units (SKUs) in retail stores and those of competitors to analyze and compare the images to the targeted shelf SKU allocations. 

Business needs:

In very short time develop a complex system for processing and analyzing visual data from Point of Sales on a large scale.

Provide a tool for crucial data analysis that provided decision makers with actionable campaign intelligence data about SKU.

Create reliable synchronization mechanism for offline images collection from POS.

Suggested solutions from Svitla:

Develop API, backend and server side on PHP and Zend.

3M Visual Attention Software for visual analysis tool.

Google Map API for geotagging and analytic report for sale managers.

Vertica for quick database access for statistic tables and charts.

Amazon EC2 and S3 cloud storage.

Value delivered

Analysis and management of information about SKU for huge country size market.
Up to date information from POS about item placement from field representatives.
Visual analysis of planogram for better attention of SKU.
POS statuses for selected products on a map.
New and automatically updated software for field representatives on Android.
Easily support for cloud based solution on Amazon EC2 and Amazon S3.

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