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Big data e-commerce network guide shopping guidance method

A technology of e-commerce and big data, applied in the direction of data processing applications, commerce, instruments, etc., can solve problems such as the increase of tourists' expenses, the inability of tourists to understand the basic situation of tour guides, and the unsatisfied individual needs of tourists, etc., to achieve improvement knowledge, convenience for tourists, and promotion of self-directed learning

Inactive Publication Date: 2018-05-01
陈亮亮
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the enhanced demand of tourists in the tourism market, the services provided by most tour guides are difficult to meet the needs of tourists in a timely manner.
[0003] In the prior art, tour guides and shopping guides are basically separated, and tourists cannot understand some basic information about the tour guides they hire, so that tourists feel that their individual needs have not been met during the tour
However, the proportion of self-driving tours and individual tourists in our country is constantly increasing. If self-driving tours and individual tourists hire a tour guide to provide services for one day, it will increase the tourist expenditure in tourism.

Method used

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  • Big data e-commerce network guide shopping guidance method
  • Big data e-commerce network guide shopping guidance method
  • Big data e-commerce network guide shopping guidance method

Examples

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Embodiment Construction

[0032] The present invention is described in further detail below in conjunction with the embodiments: when tourists need tour guide service in any place, they can browse the Internet+network tour guide service platform through mobile phones and computers to select commodities that meet their own needs. Then tourists place an order on the platform to purchase the tour guide's explanation service, and pay through the third-party payment software.

[0033] Tour guides can take orders on the platform at home and in places with good network coverage, and use the video call software on the platform as a bridge to provide face-to-face tour guide services for tourists. The video call between tour guides and tourists not only reduces the cost of manual tour guides, but also is more interactive and has a wider range of knowledge than electronic tour guides.

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Abstract

The invention discloses a big data e-commerce network guide shopping guidance method, so as to solve defects in the background technology. That is, in the prior art, a guide and shopping guidance arebasically separated, a tourist can not know the basic situation of the guide hired by himself or herself, and thus, during the trip, the tourist feels that the personalized needs are not satisfied. Meanwhile, in China, the proportion of self driving tourists and individual tourists is increased continuously, and if a self driving tourist and an individual tourist hire the guide independently for one-day service, the tourist spending is increased. The big data e-commerce network guide shopping guidance method is characterized in that the structure and the process of a big data e-commerce network guide shopping guidance online store are built; a process of enabling a tourist to do shopping in the big data e-commerce network guide shopping guidance online store is built; and a shopping and transaction process for a tourist in the big data e-commerce network guide shopping guidance online store is built. The big data e-commerce network guide shopping guidance method has the advantages thatthe willingness of the tourist to purchase the tour guide service of the guide can be enhanced, the personalized needs of the tourist are satisfied timely, and the tourist can consult tourist information on the platform and select diversified tour guide services.

Description

technical field [0001] The present invention is an application of video call technology of e-commerce and social platform in e-commerce network guide shopping, especially a big data e-commerce network guide shopping method. Background technique [0002] With the rapid development of my country's economy, the level of national income has been greatly improved, and people's spare time after work has increased. In addition, people's concepts in life and travel have continued to change. The tourism industry has developed from the original sightseeing model to a vacation and leisure model. Tourists In terms of characteristics, it has gradually developed from group travel to individual travel and self-help travel. Most of the current tour guides are still engaged in sightseeing tours, group tours and some casual tours. Tourists' demand for individualization in the tourism market has changed, and now the services provided by most tour guides are difficult to meet the needs of touri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0621G06Q30/0635
Inventor 陈亮亮
Owner 陈亮亮