дика

Activity value 61 other Supplier, the last transaction date was 2009-03-20 Detail
Accurate Match

Bill of lading data

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  • Trade date 2009/03/20 B/L No. ——
  • Supplier дика Buyers ип ковура елена эдуардовна
  • POLs —— PODs istanbul
  • Supply area Other Purchas area Russia
  • Weight 60 Amount 1206
  • Hs code 8709199900 Product tags ——
  • Product description ПИЖАМЫ МУЖСКИЕ ТРИКОТАЖНЫЕ, МАШИННОГО ВЯЗАНИЯ, ИЗ ХЛОПКА, РАЗМЕР 50, МОДЕЛЬ DK 7011 (DIKA COLLECHION FOR MEN): ПИЖАМЫ (КУРТКА И БРЮКИ)-80 ШТ.

Products

  • Products Transactions Per Detail
  • audio signal device
    1 33.33% >
  • boards
    1 33.33% >
  • butadiene rubber
    1 33.33% >
  • cellulose cotton
    1 33.33% >
  • friction materials
    1 33.33% >
  • +View All

Hscode rank

  • HSCode Name Transactions Per Detail
  • 6108310000 1 33.33% >
  • 7318249900 1 33.33% >
  • 8709199900 1 33.33% >
дика is A Other Supplier. This Company's Trade Report Mainly Contains Market Analysis, Contact, Trade Partners, Ports Statistics, And Trade Area Analysis. Official Reference Contact Is From Other Original Bill Of Ladings, Including Email, Phone, Fax, Address, And Official Website. Till 2009-03-20,дика. A Total Of 3 Transactions. Follow Up The Company, And Then Can Export This Company's Contact And B/Ls. If There Is New Transactions, We Will Also Inform You By The System.

We Extract The Trade Partners From дика'S 3 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 дика. 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 дика, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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