Order picking system applied to catering O2O (online to offline) mode and method

Abstract

The invention provides an order picking system applied to a catering O2O (online to offline) mode and an order picking method applied to the catering O2O (online to offline) mode. The system includes a picking system server and at least one store client; the picking system server is used for maintaining store information, maintaining corresponding relationships between commodities of each store and commodity locations, maintaining corresponding relationships between the commodity locations and electronic labels, obtaining commodity information and batch order information from an O2O order platform, and pushing the above information to each store client; and the at least one store client is used for obtaining the above information from the picking system server, querying whether orders to be picked exists in the batch order information and determining corresponding commodity locations according to commodities in the orders to be picked so as to generate prompting signals used for controlling electronic label prompts corresponding to the commodity locations. With the order picking system and method of the invention adopted, order picking efficiency can be improved, operation personnel can be decreased, and labor cost can be saved. The order picking system and method can be applied to factory type stores with a larger quantity of orders.

Description

technical field [0001] The present invention relates to picking technology, in particular to an order picking system and method in an O2O mode of catering. Background technique [0002] Catering O2O (Online To Offline, refers to combining offline business opportunities with the Internet, making the Internet the front desk for offline transactions) industry has developed rapidly in the past two years, and various food delivery platforms have blossomed, which is the combination of the traditional catering industry and the Internet. Usually, the O2O mode of catering is: customers place orders on major food delivery platforms, merchants print the orders after receiving the orders and start production, after the production is completed, they are manually matched with the orders, and then handed over to the delivery staff to deliver to customers. In the whole process of the internal operation of the merchant, it is mainly manual work, which needs to be checked manually, and the go...

AI Technical Summary

Problems solved by technology

In the whole process of the internal operation of the merchant, it is mainly manual work, which needs to be checked manually, and the goods are checked according to the order content before picking. limit

[0003] Therefore, the traditional picking method has shortcomings such as low picking efficiency, low accuracy, and a large number of staff.

In addition, the existing picking method can only be applied to stores with a small order volume, and is not suitable for factory-style stores. If the order volume is large and the traditional manual picking method is used, the order volume cannot be completed at the time when customers need to eat pick-and-delivery

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