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Lenovo Chen Jin talked about the color matching naming of the Motorola edge series: inspired by Tang poetry and Song poetry

December 18 news, today, Lenovo China mobile phone business department general manager Chen Jin through Weibo posted about the edge series color matching naming, he said, "Everyone seems to have noticed, from this year, our edge series of color naming is very Chinese, strictly speaking, is the classical style." ”

Chen Jin said that edge s and my team drew inspiration from Tang poems, so with the color matching of Xueji Chuqing, edge s Pro added the elements of Song Ci, so it is the color of Qingyu case and quiet night thinking.

Lenovo Chen Jin talked about the color matching naming of the Motorola edge series: inspired by Tang poetry and Song poetry

For the first Snapdragon 8 flagship that has just been released, edge X30, Chen Jin said that he reviewed the "Ancient Literature Guanzhi" countless times, so everyone said that the most beautiful color naming: Qiutong Shadow, Qiongtai Snow appeared.

Lenovo Chen Jin talked about the color matching naming of the Motorola edge series: inspired by Tang poetry and Song poetry

It is reported that in January this year, Lenovo brought the Edge series of Motorola's flagship positioning in overseas markets back to China for the first time, and released the first Edge series model - Motorola Edge S, continuing the business gene and facing the young business group pursuing a balance between work and entertainment.

Lenovo Chen Jin talked about the color matching naming of the Motorola edge series: inspired by Tang poetry and Song poetry

With the world's first Qualcomm Snapdragon 870 chip and a starting price of 1999 yuan, the machine has received many industry attention and consumer praise.

It is worth mentioning that on December 15, the world's first Snapdragon 8 chip mass production machine - Motorola Edge X30 ushered in the first sale, the official said that the machine sold 10,000 units in less than 3 minutes, and the sales of the whole network exceeded 100 million in 25 minutes.

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