ф х kоmil inson

Activity value 62 other Supplier, the last transaction date was 2020-06-17 Detail
Accurate Match

Bill of lading data

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  • Trade date 2020/06/17 B/L No. ——
  • Supplier ф х kоmil inson Buyers тоо brs trading
  • POLs —— PODs ——
  • Supply area Other Purchas area Kazakhstan
  • Weight 5830 Amount 1774
  • Hs code 809100000 Product tags apricot
  • Product description 1. АБРИКОСЫ СВЕЖИЕ 1000 ДЕРЕВ. ЯЩИК,
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Products

  • Products Transactions Per Detail
  • fresh apples
    27 14.92% >
  • apricot
    26 14.36% >
  • clubs
    25 13.81% >
  • fresh plums
    25 13.81% >
  • beet
    19 10.5% >
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Hscode rank

  • HSCode Name Transactions Per Detail
  • 808108002 27 14.92% >
  • 809100000 26 14.36% >
  • 809400500 25 13.81% >
  • 706909001 19 10.5% >
  • 809309000 16 8.84% >
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ф х kоmil inson 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 2020-06-17,ф х kоmil inson. A Total Of 181 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 ф х kоmil inson'S 181 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 ф х kоmil inson. 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 ф х kоmil inson, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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