How to Conduct Live Passenger Flow Statistics in Store and Mall

- Jan 25, 2018-

In modern society, the competition among retail businesses such as shopping malls and chain stores is increasing. The core of the competition is the passenger flow and the conversion rate of passenger flow. How to conduct real-time and dynamic monitoring and statistics of market traffic, analyze data and output various analysis results according to the actual operation of enterprises, provide a reference for business decisions and become a growing concern of many retail businesses. At the same time, with the development of economy and society, the retail business mode has changed from traditional passive marketing, extensive marketing to active marketing and precision marketing after many years of evolution. The analysis of the daily passenger flow rule is increasingly valued by the decision making level of business management.

At present, many enterprises adopt other ways to counter the red line passenger flow statistics on passenger stations and other places, there are some pavilions by examining the passenger flow statistics or three roller gate etc., on the one hand the accuracy of statistical errors, on the other hand, not through long-term data statistics, analysis of the change regularity of passenger flow, research and application the deeper the passenger data, unable to meet the modern market demand for more traffic statistics.

Now the use of advanced video surveillance technology for traffic statistics analysis in Europe and other developed countries have been very popular in recent years, Singapore, Japan, Hongkong and other developed areas gradually adopt a large number of video traffic analysis system, but also the use of domestic video traffic statistics system began to accept and many business managers. Video statistics technology has been widely applied in the field of passenger flow statistics due to its superior performance, accurate statistical results, simple installation and implementation methods, and low cost.

Intelligent video traffic statistics system traffic statistics system is through the use of advanced video analysis technology, can accurate and real-time monitoring of passenger flow data and provide analysis report of passenger flow based on dynamic, objectively reflect the passenger flow characteristics, to provide decision-making basis for the business activities. Based on the intelligent analysis of video content, the system can meet the analysis requirements of the following aspects:

1. Payment Conversion Rate

The number of shopping malls, can realize the regional population, the average residence time of customer retention data statistics, combined with the data store POS system, can calculate the bag rate, an important indicator of the average customer price, is a shopping mall management strategy can be adjusted according to the traffic situation, promote consumption.

2. Passenger Flow Density

Passenger flow density statistics generally believe that the density of passenger flow = the number of people present /

Store area. Through vistor traffic analysis, obtain the variation characteristics of the density of passenger flow of shopping malls, can master each floor of each region, accurate density of passenger flow, and according to the change of passenger flow density, effective air conditioning, ventilation system configuration, reasonable arrangement of Restroom, emergency access and other maintenance personnel, in the shopping comfort is improved at the same time, to avoid the waste of human resources.

3. Retention time

Consumer shopping time is too long will inevitably produce a certain sense of fatigue,

According to the analysis of the characteristics of passenger flow of the shopping mall, real-time access to the average residence time within regional customers, combined with the psychological characteristics of people, establish the corresponding facilities and commercial promotional activities, to ensure effective customer retention time in the mall shopping mall, to improve the overall efficiency and average unit sales.