An impressive analytics system made by Croatian companies.
Three Croatian companies have developed Emily, an innovative hardware-software combination designed for market research. Emily will become “Google Analytics for retail”, the developers aid. This interesting and innovative system for analytics that helps achieve better results in the retail industry has been recently presented in Zagreb. Based on face-recognition technology, Emily collects data on consumer’s gender, age, gestures and emotions, reports telegram.hr on March 22, 2016.
After its international debut at the global information technology fair CeBIT, which was held last week in Hannover, the local audience was able to see Emily at the innovation centre HUB385 in Zagreb. Emily is a joint project of three domestic IT companies, all of them specialized for a certain area. Span is the leading Croatian IT company for system integration, their own company InfoCumulus develops CRM systems, while ENTG is a marketing agency.
The system, based on the collected information, allows users to define an optimal marketing strategy. “The product is designed for those who will recognize their own scenario in it. We did not want to have a narrowly specialized product; we have made something that can be used in various industries. In the last few years, we have talked to a number of clients about two specific topics – the digital transformation and customer experience management. We decided to do something that will bring together a variety of expertise and make something that will show how companies can digitally transform and better manage the experience of its users”, Sven Marušić from InfoCumulus said describing the idea behind Emily.
Emily can also be used in traditional stores for the analysis of customers’ reaction to products, it can measure the effectiveness of marketing campaigns and provide an opportunity to easily detect what should be modified in order to achieve better results among specific target groups. It also monitors the response to the video ads. In the future, it should be able to read the customer reaction based on their voice.
