Cloud system and method for analyzing shopping habits based on trolleys and base station

Abstract

The invention provides a cloud system for analyzing shopping habits based on a trolley and a base station. The system comprises a terminal, service terminals, a base station and a trolley with an electronic lock, the terminal is in communication connection with the server through HTTP (S). The plurality of base stations are distributed in a shopping cart taking area, a supermarket shopping area and a shopping cart returning area; the base station is all in communication connection with the service terminals through Socket. The electronic lock installed on the handcart with the electronic lockis connected with the base station through WIFI, GPRS, 4G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G, 5G and 5G. The LORA, the NBiot, the Bluetooth or the NFC connection is realized; the server side monitors the trolley with the electronic lock through the base station; the beneficial effects of the invention are that: the method is suitable for industrial production; technique maturation stabilization, the system is reasonable in framework, stable and convenient to operate and low in cost, the supermarket shopping carts are managed in a server-base station-electronic lock mode, data collection, analysis and processing of a cloud system are combined, the consumption desire of consumers and the recognition degree of the supermarket can be improved, and powerful help can be provided forthe supermarket to know customer requirements, optimize commodity layout and increase the turnover.

Description

【Technical field】 [0001] The present invention relates to a cloud system and method for analyzing shopping habits, in particular to a cloud system and method for analyzing shopping habits based on trolleys and base stations. 【Background technique】 [0002] There are mainly three management methods in the existing supermarket shopping cart management: 1. The management method of using coins. Due to the popularity of convenient payment methods such as mobile payment, most people do not carry coins now, resulting in the shopping of this method. The utilization rate of the cart is relatively low; 2. It is managed directly by manual, and customers can borrow and return it at any time. This method is time-consuming and laborious, and the shopping cart is easy to lose; 3. The car is retrieved and returned through the mobile phone, but the unlocking of the existing mobile phone is unstable. The locks of the car are directly connected to the server through communication, resulting in...

AI Technical Summary

Problems solved by technology

[0002] There are mainly three management methods in the existing supermarket shopping cart management: 1. The management method of using coins. Due to the popularity of convenient payment methods such as mobile payment, most people do not carry coins now, resulting in the shopping of this method. The utilization rate of the cart is relatively low; 2. It is managed directly by manual, and customers can borrow and return it at any time. This method is time-consuming and laborious, and the shopping cart is easy to lose; 3. The car is retrieved and returned through the mobile phone, but the unlocking of the existing mobile phone is unstable. The locks of the car are directly connected to the server through communication, resulting in complex internal structure of the lock, high power consumption, high cost, and it is impossible to locate the shopping cart indoors, and it is not easy to manage the shopping cart

The existing three supermarket shopping cart management methods all have certain deficiencies, and their functions are relatively single, and they cannot be accurately positioned in the supermarket, nor can they understand and analyze consumers' purchasing habits, and have no effect on improving the profitability of the supermarket.

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