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Ali Index Analysis: Regional Differences Are Relatively Large In Terms Of Trade In Hot Trading Provinces.

2016/6/17 16:49:00 47

DressMen's T-ShirtCasual Pants

17, according to the analysis of Ali index, regional differences are relatively large in terms of trade between hot trading provinces, and the regional characteristics of commodity trading volume are obvious.

Among them, Zhejiang's popular paction categories include

Dress

,

Men's T-shirt

Trousers,

Casual pants

Among other costumes, the first output is the dress, far higher than other clothing categories, but in general, the main commodities in Zhejiang are mainly clothing.

In Guangdong Province, hot trading categories include mobile phones, dresses, sofas, T-Shirts, mobile phone accessories and so on. Among them, the output of mobile phones is much higher than that of other items.

The data also show that Anhui's popular paction categories include new car deposit, 3G wireless Internet card equipment, air conditioning, fertilizer, gift packaging and so on. Among them, the paction volume of new car deposit is the largest, and 3G wireless network card equipment is closely followed.

At the same time, the hottest pactions in Sichuan include sandals, low shoe, table, cabinets, mobile phones, dresses and so on. Among them, the volume of sandals is the biggest, followed by low shoes, and the main products are footwear and household furniture.

In addition, Hainan's popular paction categories include fresh fruit, beads / wooden hand string, wedding photography, bracelet, natural powder and other foods. Among them, fresh fruit has the largest volume of pactions, and the beads / wooden hand strings are ranked second, followed by tourism wedding photography.

From the data, we can see that Hainan's trading commodities are mainly fresh fruit, ornaments and tourism.

It is understood that the "Ali index" is a data analysis platform to understand the market trend of e-commerce platform, mainly based on the basic data of daily operation of Alibaba website, including the daily web site volume, the number of visitors per day, the number of new supply and demand products per day, the number of new companies and the number of products, and the 5 indicators are statistically calculated.

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