исеки

Activity value 62 other Supplier, the last transaction date was 2014-08-18 Detail
Accurate Match

Bill of lading data

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  • Trade date 2014/08/18 B/L No. ——
  • Supplier исеки Buyers ооо влк
  • POLs —— PODs владивосток
  • Supply area Other Purchas area Russia
  • Weight 1500 Amount 1277.17
  • Hs code 8701905000 Product tags ——
  • Product description ТРАКТОР КОЛЕСНЫЙ ДЛЯ СЕЛЬСКОХОЗЯЙСТВЕННЫХ РАБОТ, Б/У, ISEKI T5000, VIN ОТСУТСТВУЕТ, СИНИЙ, КУЗОВ ОТСУТСТВУЕТ, ДАТА ВЫП. 01.07.1981, ШАССИ T5000-000381, ДВИГ. 601025, ДИЗЕЛЬНЫЙ ДВИГ., 4BA1, ОБЪЕМ 2775СМ3, ГРУЗ.МОЩН. 43 Л.С./32,25 КВТ ,1 МЕСТО, КОЛИЧЕС
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Partners

Products

  • Products Transactions Per Detail
  • agricultural tractors
    1 100% >

Trading Area

  • Area Transactions Per Detail
  • russia 44 78.57% >
  • iran 8 14.29% >
  • germany 2 3.57% >
  • japan 2 3.57% >
исеки 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 2014-08-18,исеки. A Total Of 56 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 исеки'S 56 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 исеки. 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 исеки, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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