RetailTrend Solution

AI-based Visitor Analysis Service RtaiITrend recognizes appearance attributes of store visitors such as gender·age, costumes, and accessories with our own Deep-learning AI Engine, analyzes their moving paths, and then provides various data for marketing insights.

  • Path Tree
  • People Counting
  • Gender · Age
  • Zone Traffic
  • Heatmap

Path Tree

Path Tree is a visitor movement analysis service in the background of panoramic view for the first time in Korea based on image. It is used for intuitive and quantitative movement analysis of the overall layout of the store, and provides a notification service when the preset movement range deviates from the band. There are direction map and flow map for RetailFlow™.

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People counting

People Conunting is a service measuring the number of people who are passing at the offline site and analyzes the result makes help for the business.

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Gender · Age

By adopting an online FR(face recognition) engine that is deep-learned and constantly updated in a large DB, we achieved the best accuracy by synthesizing a number of online FR engine analysis data with different performance on a retail trend server.

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Zone Traffic

Zone Traffic is a service that analyzing the customers’ interest. It sets the specific section and analyze the data which are collected from the sensor to specify the customer’s interest.

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Heatmap

Heatmap is a service that allows visitors to intuitively grasp the statistical distribution of behavioral characteristics of visitors by analyzing the metadata of object tracking collected from the sensor as a whole and visualizing it in the form of a heatmap.

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