AR-based marketing cloud service platform, AR intelligent equipment, system and method

Abstract

The invention discloses an AR-based marketing cloud service platform, AR intelligent equipment, an AR intelligent system and an AR intelligent method. The AR-based marketing cloud service platform comprises an AR interaction module, a data linkage module, a data analysis module and a data aggregation module. The AR interaction module performs AR interaction with a consumer through AR intelligent equipment to obtain consumer data; the data linkage module is used for realizing data sharing by coordinating data of consumers, merchants and manufacturers, so that intelligent linkage is carried outamong marketing links, and personalized consumer data is provided; the data analysis module carries out customer analysis insight based on data analysis and carries out personalized information recommendation on consumers; and the data aggregation module performs marketing data integration. According to the AR marketing scheme based on the AR technology, marketing information flow is converted into C2B from B2C, the future marketing development trend is met, and by means of the AR technology, merchants can conduct flexible production and personalized customization according to the real requirements of consumers.

Description

technical field [0001] The present invention relates to the technical field of digital marketing, in particular to an AR-based marketing cloud service platform, AR smart device, system and method. Background technique [0002] For a long time, the information dilemma that marketing has been facing is either information flood (manufacturers throw a lot of information to consumers in the same way that consumers cannot make quick decisions), or information scarcity (consumers cannot quickly report to manufacturers effectively express their real needs). The root cause of this dilemma is that the information flow of traditional marketing is B2C, not C2B. [0003] In the information flow of traditional marketing, the information on the C side of the demand side and the B side of the supply side is asymmetrical. The C side does not know the supply of the B side, and the B side does not know the demand of the C side; A lot of information cannot take into account the specific needs...

AI Technical Summary

Problems solved by technology

[0003] In the information flow of traditional marketing, the information on the C side of the demand side and the B side of the supply side is asymmetrical. The C side does not know the supply of the B side, and the B side does not know the demand of the C side; A lot of information, unable to take into account the specific needs of each individual consumer

In the information flow of traditional marketing, in order to achieve information symmetry, the marketing decision-making process will increase and the decision-making efficiency will decrease

[0004] Therefore, the following pain points in traditional marketing have not been well resolved: the inherent B2C marketing model of traditional marketing causes information asymmetry between consumers and manufacturers, manufacturers respond slowly to changes in consumer demand; online price comparison is cumbersome and time-consuming Laborious, high return rate, time-consuming and labor-intensive; online shopping experience is poor, and users still need to go to physical stores to experience buying bulk commodities

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