osaka fu

Activity value 62 other Supplier, the last transaction date was 2018-07-24 Detail
Accurate Match

Bill of lading data

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  • Trade date 2018/07/24 B/L No. ——
  • Supplier osaka fu Buyers новиков юрий юрьевич
  • POLs —— PODs ——
  • Supply area —— Purchas area Kazakhstan
  • Weight 105 Amount 73.5
  • Hs code 8708809909 Product tags traction,rear suspension tractor
  • Product description ЗАПАСНЫЕ ЧАСТИ ПРИМЕНЯЕМЫЕ ДЛЯ ТЕХНИЧЕСКОГО ОБСЛУЖИВАНИЯ ИРЕМОНТА ТРАНСПОРТНЫХ СРЕДСТВ: РЫЧАГИ ДЛЯ АВТОМОБИЛЯ, СОСТОЯНИЕ Б/У
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Products

  • Products Transactions Per Detail
  • agricultural machinery fans
    1 4% >
  • agricultural machinery glass accessories
    1 4% >
  • air heater
    1 4% >
  • audi
    1 4% >
  • bicycle
    1 4% >
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Hscode rank

  • HSCode Name Transactions Per Detail
  • 3926909709 1 4% >
  • 7007111009 1 4% >
  • 7326909807 1 4% >
  • 8407343009 1 4% >
  • 8413308008 1 4% >
  • +View All
osaka fu 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 2018-07-24,osaka fu. A Total Of 25 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 osaka fu'S 25 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 osaka fu. 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 osaka fu, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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