Wanda Plaza is making a nationwide free Wi-Fi makeover

Absrtact: December 13 Afternoon news, Wanda's electric Business Project million Sinks Network (www.wanhui.cn) and mobile phone clients in recent quietly online trial run. As Wanda was originally a commercial real estate company under the line, Wanda agreed to be located in the O2O mode of resources under the line, currently only

December 13 Afternoon news, Wanda's electric Business Project "Million Sinks Network" (www.wanhui.cn) and mobile phone client "million sinks" recently quietly online trial run. As Wanda was originally offline commercial real estate company, Wanda Electric agreed to be located in the line to open the resources under the O2O mode, currently only in Dalian, Wuhan, Fuzhou, Zhengzhou four cities operating.

During the trial operation, 6家万 only provides the goods and services of the above 4 cities, and the future will be extended to all Wanda squares in the country. The official website shows, the content of Wan Hui net includes square activity, merchant information, commodity Shopping guide, discount, movie information, gourmet Group purchase, integral inquiry, gift exchange, etc.

and mobile phone client "million sinks" in addition to realize the WAN network function, but also to find businesses, find parking spaces, sweep square and other characteristics of services.

As an important step in the implementation of the O2O model, Wanda Plaza is making free Wi-Fi transformation throughout the country to facilitate users ' online experience. It is reported that there are Grand plaza to provide users with free Wi-Fi. It is expected that by the end of March next year, Wanda Plaza will complete the upgrading of facilities throughout the country.

Like Su Ning, with a strong offline resources Wanda in the transformation of the electric business when the choice of O2O direction. Wanda said that 2 billion people would enter Wanda Plaza in 2015. The huge crowd of people can accumulate a large amount of user data for the Wanda Electric dealer and prepare for future data mining.