di fabio италия

Activity value 61 other Supplier, the last transaction date was 2008-07-11 Detail
Accurate Match

Bill of lading data

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  • Trade date 2008/07/11 B/L No. ——
  • Supplier di fabio италия Buyers аркада зао
  • POLs —— PODs москва
  • Supply area Other Purchas area Other
  • Weight 1493 Amount 4807
  • Hs code 5515199000 Product tags polyester fabric
  • Product description ТКАНИ ИЗ ПОЛИЭФИР. ВОЛОКОН(ЛАВСАН 55%, 45% ЛЕН), ОКРАШ., В РУЛОНАХ ШИРИНОЙ 1.5М , НЕНАПЕЧАТ.,РАЗЛ. ДЛ.,ПЛОТН.344.71Г/М2-61РУЛ. (2887.34 П/М),ИСПОЛЬЗ. В ШВ. ПРОИЗВ. ДЛЯ ПОШИВА ВЕРХНЕЙ ОДЕЖДЫ, В П/Э УПАК./1ШТ.,НА БОБИНАХ

Products

  • Products Transactions Per Detail
  • fertilizer
    1 50% >
  • halides
    1 50% >
  • plywood
    1 50% >
  • polyester fabric
    1 50% >

Hscode rank

  • HSCode Name Transactions Per Detail
  • 5112909900 1 50% >
  • 5515199000 1 50% >
di fabio италия 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 2008-07-11,di fabio италия. A Total Of 2 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 di fabio италия'S 2 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 di fabio италия. 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 di fabio италия, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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