info.technologies univ.punjab umar saif

Activity value 61 pakistan Buyer, the last transaction date was 2020-02-28 Address: lahore pakistan Detail
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Bill of lading data

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  • Trade date 2020/02/28 B/L No. 4005622106
  • Supplier asendia usa 701c ashland ave Buyers info.technologies univ.punjab umar saif
  • POLs —— PODs lpaf
  • Supply area Other Purchas area Pakistan
  • Weight 1 Amount ——
  • Hs code Product tags ale,custom,alu,magazines,printed matter
  • Product description PRINTED MATTER-MAGAZINES-VALUE FOR CUSTOM PURPOSES ONLY-NOT FOR RESALE

Products

  • Products Transactions Per Detail
  • ale
    1 100% >
  • alu
    1 100% >
  • custom
    1 100% >
  • magazines
    1 100% >
  • printed matter
    1 100% >
info.technologies univ.punjab umar saif is A Pakistan Buyer. This Company's Trade Report Mainly Contains Market Analysis, Contact, Trade Partners, Ports Statistics, And Trade Area Analysis. Official Reference Contact Is From Pakistan Original Bill Of Ladings, Including Email, Phone, Fax, Address, And Official Website. Till 2020-02-28,info.technologies univ.punjab umar saif. 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 info.technologies univ.punjab umar saif'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 info.technologies univ.punjab umar saif. 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 Pakistan's Buyer Company Database. That Including Email And Have Transaction Recently Will Be Pushed. So Suggest You Follow info.technologies univ.punjab umar saif, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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