ооо утилита

Activity value 61 International Buyer&Supplier, the last transaction date was 2012-05-11 Address: 51200, днепропетровская обл., г.новомосковск, ул.з.белой, д.156а Detail
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Bill of lading data

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  • Trade date 2012/05/11 B/L No. ——
  • Supplier ооо стеклосервис Buyers ооо утилита
  • POLs —— PODs г орел
  • Supply area Russia Purchas area Other
  • Weight 5959.6 Amount 17655.38
  • Hs code 8479899708 Product tags ——
  • Product description УСТАНОВКА ПРОМЫВКИ 1 ШТ.В ЧАСТИЧНО РАЗОБРАННОМ ДЛЯ ПЕРЕВОЗКИ ВИДЕ. ПРЕДНАЗНАЧЕНА ДЛЯ ТРАНСПОРТИРОВАНИЯ И ПРОМЫВКИ МАССЫ СТЕКЛОБОЯ. СОСТОИТ ИЗ СЛЕДУЮЩИХ ОСНОВНЫХ УЗЛОВ: БУНКЕР РАЗГРУЗОЧНЫЙ; КОНВЕЙЕР; УСТРОЙСТВО ПРОМЫВКИ СТЕАЛОБОЯ,СОСТОЯЩЕЕ И

Products

  • Products Transactions Per Detail
  • air adsorption dryers
    1 100% >
  • vehicle spare parts
    1 100% >
ооо утилита 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 2012-05-11,ооо утилита. 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 ооо утилита'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 ооо утилита. 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 ооо утилита, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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