The Research Of The Accurate Position Of Customer's Purchasing Power And Purchasing Prefer In Supermarket

In present social, along with the development of market economy and exaltation of people's living, the consumption level of people also consumedly raises, and the shopping psychology of people changed. To understand the consumer trend, to control the shopping mental state of consumer, to be better content consumer's need, are the root of the business enterprise competes neutral at the invincible position in the volatile market. Better determine the customer's purchasing power and customer buying preferences for supermarket can make the supermarkets to be more accurate positioning, and meet the customer's purchasing power and preferences. And because of the people flow and seasonal food factors, only rely on statistics purchase, shipment, and inventory information of a certain period of time, can not infer the required information needed by supermarket, so we need to get through other means to infer the purchasing power of customers and preferences.This thesis focus on the needs of today's supermarket, developed the automatic data collection, data analysis and data show out for management for the supermarket which can be inferred directly show the customer purchasing power and preferences of factors. This research first analyzes the type of required data, such as customer information and purchase goods information to analyze the customer's purchasing power and preferences, the information collected through supermarket camera to identify customer information and POS machines to purchase goods information. Then analyzes the collected data, for making the stored data is relatively complete, and lower down the usage of system resources, put the collected data into the data structure, and then to structure the data into the database. Last use the show out screen to directly contact with the administrator, use different inlet conditions to call the analysis results, and then show out the info by different periods, different customer age, and different types of goods in a histogram display or in a data list to administrator, help them to visually understanding of the customer's purchasing power and preference information.