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    Big Data Era: New Experience Field Of Cross Border Integration

    2015/6/10 10:44:00 52

    Big DataCross Border IntegrationChannel Management

    The use of big data is one of the commonalities of the interaction between "shop operators" and "electronic business".

    The electricity supplier understands consumers through cloud APP, and then adjusts merchants.

    Chen Lilin said in his speech: "aquatic animals should not envy the legs and legs of terrestrial animals. What really needs to be solved is to produce a lung instead of breathing with their gills."

    The traditional mode of operation usually revolves around the three roles of tenant management, activity management and property management.

    But new business operations should focus on consumer management, that is, data operation and management in the Internet era.

    The entity of shopping center can get the quantity of passenger flow, consumption frequency, consumption preference, purchase habit and consumption amount. Through mobile Internet technology, consumers can get information about gender, passenger flow heat, age range and action track.

    The big data network built by these information is the key.

    Customer maintenance system can be used to understand the consumption habits of member customers, and to store customer flow and frequency monitoring system can analyze customer preferences based on data.

    Data crawling is done through eight systems, and consumer behavior habit and preference model is established. Finally, the model is used to manage businesses and customers in an all-round way, and also for shopping malls.

    brand

    The adjustment of format and line provides data basis.

    How to get big data? Chen Congrong believes that online can be done through WeChat, APP marketing, interactive drainage, offline can be recorded through the interactive capture screen to store user needs, WiFi, payment and post verification system to achieve.

    Huang Yu, deputy director of the Shanghai Business Development Research Center, believes that using the new technologies such as Internet, big data and dynamic positioning can effectively integrate the supply chain to better tap and guide consumption demand.

    Potential customers analysis system, consumption habits and commodity mix, such as cross analysis, activity control and intelligent application such as touch technology, intelligent shopping, 3D fitting, etc. big data is the golden key to help shopping centers take the next step.

    "Internet +" era, along with the refinement of lifestyle.

    Personalized demand

    New generation of consumer groups are emerging, such as gourmet, beauty experts, designers, health experts, travel friends, etc., focusing on the needs of social networking, experience and life aesthetics of these different groups, K11's major art exhibitions, high island house's meatball exhibition.

    More and more commercial enterprises are trying to "cross-border" integration between commerce and culture, tourism, art, performance and display.

    Mall of America, the largest shopping entertainment center in the United States, is also actively exploring cross-border business, creating a new concept of entertainment and retail, offering 25 theme parks and amusement facilities, thus providing customers with an upgraded consumption experience.

    Huang Yu thought, "to achieve".

    Internet plus

    On the one hand, commercial enterprises should enhance their ability to discern and create consumer demand, seriously study consumer group characteristics and consumption trends in the "Internet +" era, make use of new technologies such as Internet, big data and dynamic positioning to effectively integrate supply chain, better tap and guide consumption demand; on the other hand, enhance the ability to make use of physical commercial space, create and cultivate new experience fields that experience fashion, absorb knowledge, appreciate art and kill time, and satisfy people's spiritual and emotional needs such as leisure, tourism, culture and social interaction.


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