panelli alessandro

Activity value 61 other Buyer, the last transaction date was 2013-11-22 Address: via cadutti di nassurya n311, 29010 ziano piacentino, piacenza, італія Detail
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Bill of lading data

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  • Trade date 2013/11/22 B/L No. ——
  • Supplier товариство з обмеженою відповідальністю технот Buyers panelli alessandro
  • POLs —— PODs piacenza
  • Supply area Other Purchas area Other
  • Weight 22005kg Amount ——
  • Hs code 4401301000 Product tags ——
  • Product description 1.ПЕЛЕТИ ПАЛИВНІ ДЕРЕВНІ З ТИРСИ ВИГОТОВЛЕНІ МЕТОДОМ ПРЕСУВАННЯ БЕЗ ДОДАВАННЯ ІНШИХ ІНГРІДІЄНТІВ, ФАСОВАНІ В МІШКИ ПО 15 КГ, ЯКІ ВИКОРИСТОВУЮТЬСЯ ЯК БІОПАЛИВО, НА ДЕРЕВ'ЯНИХ ПІДДОНАХ, РОЗМІРОМ 1200Х800 ММ, ТА ОБТЯГНУТІ ПОЛІПРОПІЛЕНОВОЮ СТРІ

Products

  • Products Transactions Per Detail
  • saw dust
    1 100% >
panelli alessandro 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 2013-11-22,panelli alessandro. 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 panelli alessandro'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 panelli alessandro. 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 panelli alessandro, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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