Tradersфлп ву ванг кионг
Activity value 62 ukraine Buyer, the last transaction date was 2020-02-21 Address: 83086, , г. донецк, пл. коммунаров, д. 1, кв. 17Number of Transactions Quantity Weight
Number of Transactions Quantity Weight
The following trade report data is derived from its trade data; the company's import data up to 2020-02-21 total 0 transactions. Based on these trade data, we have aggregated the data in terms of trading partners, import and export ports, countries of supply, HS codes, contact details and other dimensions, which will help you to improve the efficiency of using your foreign trade data.
The graph above shows the market trend analysis of флп ву ванг кионг for the past year, which can be used to understand the current supply cycle and business stability of the company from the trend of different dimensions such as quantity, weight, price and number of transactions.
- Year Transactions Quantity Weight
Products
- Products Transactions Per Detail
-
toys
55 31.79% > -
toy bags
18 10.4% > -
entertainment products
11 6.36% > -
jigsaw puzzle
10 5.78% > -
drums
8 4.62% >
+View All
Hscode rank
- HSCode Name Transactions Per Detail
- 9503007000 11 6.36% >
- 9503006900 10 5.78% >
- 9503009500 10 5.78% >
- 9503003500 9 5.2% >
- 9503005500 8 4.62% > +View All
Trading Area
- Area Transactions Per Detail
- russia 50 94.34% >
- other 2 3.77% >
- china 1 1.89% >
We Extract The Trade Partners From флп ву ванг кионг'S 0 Transctions. You Can Screen Companies By Transactions, Trade Date, And Trading Area. While You Can Check Product Type, Quantity, Price, And Trade Frequency Of Each Transaction. This Data Will Help You Study Your Competitors, Maintain And Monitor Your Customers, And Develop Target Users. Through Summary Statistics Of Transaction，We Extract This Company's Data Of Import-Export Ports And Trade Area, And Then You Can Check Related Data. It Can Calculate The Main Market And Occupation Of флп ву ванг кионг. All Around The World. Help You Deeply Analyze The Target Market, And Scientifically Formulate Production And Marketing Strategies.
Besides, We Are Trying Our Best To Provide Accurate Target Customers Recommend. Through Big Data, Recommend The Company That Buying Or Supplying The Same Product (Or HS Code) From The Other's Buyer Company Database. That Including Email And Have Transaction Recently Will Be Pushed. So Suggest You Follow флп ву ванг кионг, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.