принот аг

Activity value 61 other Supplier, the last transaction date was 2010-11-13 Detail
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Bill of lading data

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  • Trade date 2010/11/13 B/L No. ——
  • Supplier принот аг Buyers ооо кант
  • POLs —— PODs монтмелиан франция
  • Supply area Other Purchas area Russia
  • Weight 7420 Amount 71555.29
  • Hs code 8701301000 Product tags ——
  • Product description ТРАКТОР ГУСЕНИЧНЫЙ, МАРКА PRINOTH МОД. T4SRP ДЛЯ ПРОКЛАДЫВАНИЯ ЛЫЖНЫХ ТРАСС, Б/У, МОТОЧАСЫ 2330,СЕР.№ T4SRP70141,C ДИЗ.ДВИГ. МОД. SCANIA DC9, №DC9 6508714, ОБ.ДВИГ. 9000 СМ3, 324Л.С./238КВТ, Г/В:2004, ЦВЕТ: КРАСНЫЙ, В ЧАСТИЧНО РАЗОБРАННОМ ВИДЕ.
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Partners

Products

  • Products Transactions Per Detail
  • non self propelled propeller
    2 66.67% >
  • snowfall machine
    2 66.67% >
  • track-laying tractors
    1 33.33% >

Hscode rank

  • HSCode Name Transactions Per Detail
  • 8430200000 2 66.67% >
  • 8701301000 1 33.33% >
принот аг 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 2010-11-13,принот аг. A Total Of 15 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 принот аг'S 15 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 принот аг. 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 принот аг, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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