old dresses s.a.s.

Activity value 61 International Firm Supplier, the last transaction date was 2011-09-29 Address: di coppola giovani & c.s.a.s. via del ferro, 374/4 Detail
Accurate Match International Firm

Bill of lading data

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  • Trade date 2011/09/29 B/L No. ——
  • Supplier old dresses s.a.s. Buyers тов фірма сектор н
  • POLs ua київ PODs ——
  • Supply area Other Purchas area Ukraine
  • Weight 17858kg Amount ——
  • Hs code 6309000000 Product tags ——
  • Product description 1.ОДЯГ ВЖИВАНИЙ,НЕ СОРТОВАНИЙ,З СТУПЕНЕМ ЗНОШЕНОСТІ НЕ БІЛЬШЕ ЯК 25-30%: 2 КАТЕГОРІЯ(ВЕРХНІЙ ОДЯГ:ДЖЕМПЕРА,КУРТКИ, ПЛАЩІ,СВЕТРИ,ДЖИНСОВИЙ ОДЯГ,ТУФЛІ І Т.Д.) 3 КАТЕГОРІЯ(ФУТБОЛКИ,ШКАРПЕТКИ,СПОРТИВНІ КОСТЮМИ,СОРОЧКИ,СУКНІ,ШАПКИ,БІЛИЗНА, СПІДНИЦ

Partners

Products

  • Products Transactions Per Detail
  • blouses
    5 100% >
old dresses s.a.s. 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 2011-09-29,old dresses s.a.s.. A Total Of 5 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 old dresses s.a.s.'S 5 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 old dresses s.a.s.. 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 old dresses s.a.s., At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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