чл гафуров д о

Activity value 61 other Buyer, the last transaction date was 2011-10-28 Detail
Accurate Match

Bill of lading data

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  • Trade date 2011/10/28 B/L No. ——
  • Supplier ооо сиб регион Buyers чл гафуров д о
  • POLs —— PODs локоть
  • Supply area Russia Purchas area Other
  • Weight 65008 Amount 10223.5
  • Hs code 4407109300 Product tags timber
  • Product description ПИЛОМАТЕРИАЛЫ ОБРЕЗНЫЕ ХВОЙНЫХ ПОРОД (ДОСКА, БРУСОК) ИЗ СОСНЫ ОБЫКНОВЕННОЙ (PINUS SYLVESTRIS), РАСПИЛЕННЫЕ ВДОЛЬ,НЕСТРОГАННЫЕ, НЕОБТЁСАННЫЕ, НЕШЛИФОВАННЫЕ, НЕ ИМЕЮЩИЕ СОЕДИНЕНИЯ В ШИП, ДЛЯ СТРОИТЕЛЬНЫХ ЦЕЛЕЙ ВСЕГО 3046 ШТ, СОРТ 1-4, ГОСТ 8486-86

Partners

Products

  • Products Transactions Per Detail
  • timber
    2 66.67% >
  • sawn timber
    1 33.33% >

Hscode rank

  • HSCode Name Transactions Per Detail
  • 4407109300 2 66.67% >
  • 4407109800 1 33.33% >
чл гафуров д о 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 2011-10-28,чл гафуров д о. A Total Of 3 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 чл гафуров д о'S 3 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 чл гафуров д о. 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 чл гафуров д о, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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