дп гидрофизический институт гнпо сфти

Activity value 61 other Buyer&Supplier, the last transaction date was 2017-09-26 Address: г. сухум, ул. красномаяцкая, 67 Detail
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Bill of lading data

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  • Trade date 2017/09/26 B/L No. ——
  • Supplier ооо нелакс Buyers дп гидрофизический институт гнпо сфти
  • POLs —— PODs г таганрог
  • Supply area Russia Purchas area Other
  • Weight 354.2 Amount 4051.77
  • Hs code 8484200100 Product tags cartons,motor,needle roller bearings
  • Product description ЧАСТИ И ПРИНАДЛЕЖНОСТИ МАШИН И УСТРОЙСТВ ДЛЯ ИСПЫТАНИЯ МЕХАНИЧЕСКИХ СВОЙСТВ МАТЕРИАЛОВ

Products

  • Products Transactions Per Detail
  • cartons
    1 100% >
  • motor
    1 100% >
  • needle roller bearings
    1 100% >
дп гидрофизический институт гнпо сфти 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 2017-09-26,дп гидрофизический институт гнпо сфти. 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 дп гидрофизический институт гнпо сфти'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 дп гидрофизический институт гнпо сфти. 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 дп гидрофизический институт гнпо сфти, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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