ват нмлк

Activity value 61 other Buyer, the last transaction date was 2014-08-29 Address: рф, 398040, м. ліпецьк, пл. металургів, 2 Detail
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Bill of lading data

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  • Trade date 2014/08/29 B/L No. ——
  • Supplier тов техносервіс Buyers ват нмлк
  • POLs —— PODs ru м ліпецьк
  • Supply area Other Purchas area Other
  • Weight 610kg Amount ——
  • Hs code 8466937000 Product tags ——
  • Product description 1. ЧАСТИНИ, ПРИЗНАЧЕНІ ВИНЯТКОВО ДО ВЕРСТАТА ВАЛЬЦЕШЛІФУВАЛЬНОГО МОДЕЛІ ХШ5-15М ДЛЯ ШЛІФУВАННЯ ЦИЛІНДРИЧНИХ, КОНІЧНИХ, ОПУКЛИХ І УВІГНУТИХ ПОВЕРХОНЬ ВАЛКІВ І ВАЛІВ, ЗАГАЛЬНОПРОМИСЛОВОГО ПРИЗНАЧЕННЯ: -ВУЗЕЛ ШПИНДЕЛЬНИЙ ШЛІФУВАЛЬНОЇ БАБКИ (КРЕСЛЕННЯ ХШ5-15.200СБ) -2ШТ. ТОРГОВЕЛЬНА МАРКА: НЕМАЄ ДАНИХ КРАЇНА ВИРОБНИЦТВА: UA ВИРОБНИК: ТОВ "ТЕХНОСЕРВІС"

Products

  • Products Transactions Per Detail
  • machine tools
    1 100% >
ват нмлк 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 2014-08-29,ват нмлк. 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 ват нмлк'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 ват нмлк. 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 ват нмлк, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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