cv.nafisha cahaya exim jl.m.basir gg.mayang

Activity value 62 International Firm Supplier, the last transaction date was 2021-03-22 Detail
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Bill of lading data

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  • Trade date 2020/09/30 B/L No. mesa07801800
  • Supplier cv.nafisha cahaya exim jl.m.basir gg.mayang Buyers hasnain corp.
  • POLs belawan sumatr PODs kape
  • Supply area Other Purchas area Pakistan
  • Weight 10.22 Amount ——
  • Hs code Product tags ——
  • Product description SHIPPERS LOAD & COUNT STC:-220 BAGS OF DRY COCONUT (GRADE 1) PACKING IN JUTE BAG.
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Partners

Products

  • Products Transactions Per Detail
  • bags
    46 88.46% >
  • gh
    30 57.69% >
  • broom stick
    27 51.92% >
  • cod
    19 36.54% >
  • broomstick
    13 25% >
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cv.nafisha cahaya exim jl.m.basir gg.mayang 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 2021-03-22,cv.nafisha cahaya exim jl.m.basir gg.mayang. A Total Of 11 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 cv.nafisha cahaya exim jl.m.basir gg.mayang'S 11 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 cv.nafisha cahaya exim jl.m.basir gg.mayang. 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 cv.nafisha cahaya exim jl.m.basir gg.mayang, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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