Tradersповх юрий александрович
Activity value 65 International Buyer&Supplier, the last transaction date was 2021-12-13 Address: луганская область, г. луганск, ул. текстильщиков, д.124Number 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 2021-12-13 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 повх юрий александрович 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
-
underwear
23 23.71% > -
bedding
14 14.43% > -
cloth
12 12.37% > -
yarn
12 12.37% > -
cotton bedding
10 10.31% >
+View All
Hscode rank
- HSCode Name Transactions Per Detail
- 6302600000 12 12.37% >
- 3920499000 9 9.28% >
- 6302100009 9 9.28% >
- 6304110000 9 9.28% >
- 6302310009 8 8.25% > +View All
We Extract The Trade Partners From повх юрий александрович'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 повх юрий александрович. 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 повх юрий александрович, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.