Method and system for improving competiveness of e-commerce enterprises

A customer and feature type technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of poor customer user experience, low satisfaction, identification of customer characteristics, etc., to improve market competitiveness, improve customer Satisfaction and profitability

CN104036409AInactive Publication Date: 2014-09-10姚德明
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2014-09-10
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method and system for improving competiveness of e-commerce enterprises. The method comprises: an agility system creates and maintains a client characteristic type database, a client attribute database, a strategy database and a rule database. The method and system provided by the invention solve the problems of poor user experience and low satisfaction which are caused by incapability of accurately, completely and timely identifying client characteristics in the prior art, accurately identify and excavate the client characteristics, and provide relevant coping strategies according to customized characteristics of clients, thereby improving the competiveness of the e-commerce enterprises.
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Description

technical field

[0001] The invention relates to the field of e-commerce, in particular to a method and system for enhancing the competitiveness of e-commerce enterprises centered on customers. Background technique

[0002] Online shopping may buy physical goods, such as food and clothing, or virtual goods, such as e-books. Online shopping has become one of the main shopping methods. Netizens buy air tickets, clothes, cosmetics, electronic products, food, and books online. According to statistics, the scale of China's e-commerce transactions in 2011 was close to 6 trillion yuan, accounting for 13% of the gross national product; the total online retail sales exceeded 750 billion yuan, accounting for more than 4% of the total retail sales of social consumer goods; by the end of 2011, The number of online shopping users in China has reached 194 million.

[0003] So far, the rapid development and success of e-commerce development is mainly based on two advantages of e-commerce ...

Examples

Embodiment 1

[0085] The implementation method of the agility system adapting to customer characteristics proposed by the present invention includes: the agility system creates and maintains a customer feature type library, and the creation and maintenance of the customer feature type library includes creating customer feature type library metadata, and or adding customer Feature type library metadata, and or modify customer feature type library metadata, and or delete customer feature type library metadata, and or add customer feature type library data, and or modify customer feature type library data, and or delete customer feature types library data;

[0086] The agility system creates and maintains a customer attribute library, and the creating and maintaining a customer attribute library includes creating customer attribute library metadata, and or adding customer attribute library metadata, and or modifying customer attribute library metadata, and or deleting customers property reposi...

Embodiment 2

[0162] figure 2 A schematic diagram of the modules of the agility system 102 is shown, including a customer feature type database management module 201 , a customer attribute database management module 202 , a policy database management module 203 , a rule database management module 204 , and a storage module 205 . Customer feature type library management module 201, used to create and maintain customer feature type library; customer attribute library management module 202, used to create and maintain customer attribute library; strategy library management module 203, used to create and maintain strategy library; rule library The management module 204 is used to create and maintain the rule base; the storage module 205 is used to store the metadata and data of the customer feature type base, the metadata and data of the customer attribute base, the metadata and data of the strategy base, and the metadata and data of the rule base.

[0163] image 3 A block schematic diagram ...