факииритар ой

Activity value 61 other Buyer, the last transaction date was 2009-12-02 Address: fi,068880, карби, г.порвоо, ул. сварбёкиитие,144 Detail
Accurate Match

Bill of lading data

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  • Trade date 2009/12/02 B/L No. ——
  • Supplier ооо надежда отсутствует Buyers факииритар ой
  • POLs —— PODs нурмиярви
  • Supply area Russia Purchas area Other
  • Weight 120 Amount 2737
  • Hs code 6406995000 Product tags shoe accessories,shoes
  • Product description ВКЛАДНЫЕ СТЕЛЬКИ ИЗ ПОЛИМЕРНОГО МАТЕРИАЛА ПЛАСТИКАТА МАРКИ ИО 45-12 С РАСПОЛОЖЕННЫМИ В НИХ ЭЛАСТОМАГНИТАМИ ДЛЯ МАГНИТОТЕРАПИИ ПОСТОЯННЫМ МАГНИТНЫМ ПОЛЕМ-АППЛИКАТОР "СТЕЛЬКИ МАГНИТНЫЕ С ЧЕТЫРЬМЯ МАССАЖНЫМИ ЗОНАМИ" СМБФ-02 -300 ПАР, СМБФ-03 -400 ПАР, С

Products

  • Products Transactions Per Detail
  • shoe accessories
    1 100% >
  • shoes
    1 100% >
факииритар ой is A Other Buyer. 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 2009-12-02,факииритар ой. A Total Of 1 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 факииритар ой'S 1 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 факииритар ой. 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 факииритар ой, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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