On-site pricing platform using big data services

Abstract

The invention relates to an on-site pricing platform applying big data services, comprising: a signal receiving mechanism, used to issue a checkout completion instruction after the staff at the cash register of the supermarket completes the charging operation on the current bill; a big data service node, used to Each reference product pattern corresponding to each product on sale in the supermarket is stored in advance; the automatic push mechanism is used to automatically push out a single shopping bag of a model that matches the reference model to the side of the supermarket cash register near the customer channel; bill summary equipment , for adding the price of the shopping bag corresponding to the reference model to the current bill after the automatic pushing mechanism completes a pushing action. The on-site pricing platform applying the big data service of the present invention is compact in design and widely used. Since the type of shopping bag that is automatically pushed for the current customer can be determined based on the area detection result of the commodity purchased by the current customer and the automatic pricing of the shopping bag can be completed, thereby speeding up the efficiency of supermarket checkout.

Description

technical field [0001] The invention relates to the field of big data services, in particular to an on-site pricing platform applying big data services. Background technique [0002] For "big data" (Big data) research organization Gartner has given such a definition. "Big data" requires a new processing model to have stronger decision-making power, insight and process optimization capabilities to adapt to massive, high-growth and diverse information assets. [0003] The definition given by the McKinsey Global Institute is: a data collection that is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis. It has massive data scale, fast data flow, and diverse Four major characteristics of low data type and value density. The strategic significance of big data technology lies not in mastering huge data information, but in professional processing of these meaningful data. In other wor...

AI Technical Summary

Problems solved by technology

[0004] At present, in the operation process of the supermarket, if there is a large flow of customers or insufficient checkout personnel in a certain period of time, it is easy to cause a backlog of customers at the checkout counter of the supermarket. On the one hand, the time of customers is wasted, and on the other hand On the one hand, it reduces the operating efficiency of the supermarket

Therefore, it is necessary to make detailed improvements to the checkout link, for example, try to automate the selection of shopping bags for customers and the push and pricing of shopping bags. However, there is currently no relatively perfect technical solution for this detailed link

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