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Technology for determination of preferred paths followed by customers in large public spaces (eg, supermarkets) for the purpose of improving the techniques of organization of space (corridors), product placement and positioning of marketing materials.

Determining preferred paths followed by individuals in a large area and relating them to demographic and behavioral characteristics is of the utmost practical importance. With this data, it is possible to:
- Optimize the placement of products in commercial spaces (for example, the atmosphere and the positioning of products in a supermarket obey strict rules in order to increase the duration of stay of the consumer and maximize sales);
- Enhance safety and comfort of users of public spaces such as shopping malls, sports arenas, public transportation stations, etc., by improving circulation and flow of people along corridors and around obstacles.
Systems that track the buying patterns of customers in supermarkets already exist. However, these systems are mostly based on RFID or USWIFI technologies, which undergo several technical limitations that confine their use to studies in a controlled environment, with little practical application in real situations.
The solution jointly developed by Outmind and IST combines two different technologies to overcome the limitations of each one of them and get more accurate results with lower investment and easier installation.
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