VK has launched the GeoCursor ML service for VK Predict geoanalytics. It will help to assess the effectiveness of offline outlet locations, the company’s press service said.
The service helps to find the target audience and analyze the criteria that affect revenue, the company says. In addition, “GeoCursor” allows you to predict turnover and assess the competitive environment.
According to Roman Styatyugin, director of the VK Predict analytical products center, offline businesses face more restrictions than online stores. Therefore, it can be difficult to analyze all the criteria manually.
GeoCursor’s machine learning models take into account more than 500 parameters: impersonal characteristics of the audience, the infrastructure of the area, pedestrian and automobile traffic, and consumer activity. Based on them, it analyzes and predicts information about sales, billing and average check.
The service analyzes data within a radius of less than 40 meters from the specified location. Thanks to this, it is possible to determine in which case the traffic is associated with the metro station, and in which – with the actual assistance of the shopping center.
In addition, the solution will allow you to create a general portrait of the users who regularly pass through a certain point. Social, demographic, income and interest in certain topics are taken into account.
Data about the area’s infrastructure, in turn, helps assess how close the location is to competitors, high-traffic facilities, and transportation hubs.
Earlier, the national space research service Geointellect, which aggregates various sources of location and traffic data, entered the Kazakhstan market.
Author:
Natalia Gormaleva
Source: RB
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