citi bank of

Activity value 66 united states Buyer, the last transaction date was 2010-12-30 Detail
Accurate Match

Bill of lading data

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  • Trade date 2010/12/30 B/L No. ——
  • Supplier m&n textiles ltd. Buyers citi bank of
  • POLs —— PODs u s a
  • Supply area Pakistan Purchas area United States
  • Weight —— Amount ——
  • Hs code Product tags s 10,cotton printed cloth
  • Product description 18267 YARDS 100% COTTON PRINTED CLOTH 20/20 60X60 44"
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Partners

Products

  • Products Transactions Per Detail
  • pc
    267 35.65% >
  • cotton
    240 32.04% >
  • s 10
    222 29.64% >
  • polyester
    158 21.09% >
  • s 30
    139 18.56% >
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Port statistics

  • Port Name Transactions Per Detail
  • u s a 768 40.98% >
  • savannah 519 27.69% >
  • norfolk 145 7.74% >
  • los angeles 90 4.8% >
  • long beach ca 76 4.06% >
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citi bank of is A United States Buyer. This Company's Trade Report Mainly Contains Market Analysis, Contact, Trade Partners, Ports Statistics, And Trade Area Analysis. Official Reference Contact Is From United States Original Bill Of Ladings, Including Email, Phone, Fax, Address, And Official Website. Till 2010-12-30,citi bank of. A Total Of 1874 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 citi bank of'S 1874 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 citi bank of. 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 United States's Buyer Company Database. That Including Email And Have Transaction Recently Will Be Pushed. So Suggest You Follow citi bank of, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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