Design And Implementation Of Consumers' Behavior Analysis System Based On Wi-Fi Location Technology

In the previous analysis of consumer behavior, consumers'behavior data was difficult to capture. To capture these data, the traditional methods were to record the data by staff followed the consumer or layout a large number of monitors in the supermarket. These methods could capture the data, but take a great deal of manpower and material resources. And the data was difficult to store and modify. Because the data was disorganized, it was difficult to analyze. So the result was often ineffective. Therefore, the retail industry needed a system which can capture consumers'behavior data quickly and accurately, process and analyze the data.This paper proposes an idea which is wireless location technology combined with the retail industry and design and implement a Consumers'Behavior Analysis System based on Wi-Fi location technology. It uses Wi-Fi real-time location technology to locate consumers quickly and accurately instead of the previous method of manual recording. It is effective to avoid recording errors. And it becomes easier to store and analyze the data. To the best of our knowledge, there is no case which is wireless location technology combined with the retail industry. Therefore, this paper is innovative.This paper developed a set of rules for processing the raw data. According to these rules, we optimized the raw data. Then we showed marketing experts the processed data through the shopping paths, the hot zones and the reports.This paper also proposed a new model of preference to reflect zone attraction. The model not only takes zone visited times into account, but also adds the affection of zone stay time and purchase rate. According to the model, the paper proposes an efficient algorithm which is developed for mining consumers' preferred shopping paths. It can get consumers'preferred shopping paths by the zone-zone transition probabilities statistics in each step. After the test of practical application, the result shows that the system of this paper can meet the demand of the retail industry and give marketing experts decision support.