magally store

Activity value 62 other Supplier, the last transaction date was 2016-11-18 Detail
Accurate Match

Bill of lading data

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  • Trade date 2016/11/18 B/L No. ——
  • Supplier magally store Buyers grupo eeka s.a.
  • POLs —— PODs ——
  • Supply area Other Purchas area Costa Rica
  • Weight 2.34kg Amount 18.17
  • Hs code 6206900000 Product tags ——
  • Product description BLUSA DAMA FD85956 FUN FUN 97%POLYESTER 3%SPANDEX GRIS AZUL CHINA SML
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Products

  • Products Transactions Per Detail
  • blouse
    91 54.82% >
  • shirt
    64 38.55% >
  • women's wear
    26 15.66% >
  • short dress
    15 9.04% >
  • pants
    13 7.83% >
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Hscode rank

  • HSCode Name Transactions Per Detail
  • 6206900000 64 38.55% >
  • 6206300000 27 16.27% >
  • 6204490000 26 15.66% >
  • 6204420000 15 9.04% >
  • 6204690000 13 7.83% >
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magally store 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 2016-11-18,magally store. A Total Of 166 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 magally store'S 166 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 magally store. 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 magally store, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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