Tradersduc giang dugarco
Activity value 61 vietnam Supplier, the last transaction date was 2019-05-31 Address: 50 duc giang str long bien hanoi 1,.,00000 vnNumber 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 2019-05-31 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 duc giang dugarco 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
Partners
- Rank Company Transactions Per Detail
- 1 the levy group inc. buyer,they trade on 2019-05-31 2 66.67% >
- 2 ll&s purchasing corp. buyer,they trade on 2019-04-12 1 33.33% >
Products
- Products Transactions Per Detail
-
ester
3 100% > -
ladies poly
3 100% > -
milky coated
2 66.67% > -
woven jacket
2 66.67% > -
nylon
1 33.33% >
+View All
We Extract The Trade Partners From duc giang dugarco'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 duc giang dugarco. 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 Supplier Company Database. That Including Email And Have Transaction Recently Will Be Pushed. So Suggest You Follow duc giang dugarco, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.