ml poly c o

Activity value 62 united states Buyer, the last transaction date was 2019-02-20 Address: 70 java street,brooklyn-ny-11222,usa, Detail
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Bill of lading data

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  • Trade date 2020/08/04 B/L No. medust129831
  • Supplier electro plastics s.a. Buyers ml poly c o
  • POLs mollendo matarani PODs ——
  • Supply area United States Purchas area Other
  • Weight 22183.76kg Amount ——
  • Hs code 844120 Product tags disposable bag,innovative
  • Product description INNOVATIVE DISPOSABLE BAGS
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Products

  • Products Transactions Per Detail
  • ice
    32 84.21% >
  • plastic sheets
    31 81.58% >
  • freight prepaid
    30 78.95% >
  • wood
    30 78.95% >
  • 40 foot container
    29 76.32% >
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Hscode rank

  • HSCode Name Transactions Per Detail
  • 392099 24 63.16% >
  • 853810 6 15.79% >
  • 392010 3 7.89% >
  • 420292 3 7.89% >
  • 170220 1 2.63% >
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Port statistics

  • Port Name Transactions Per Detail
  • new york 64 96.97% >
  • newark nj 2 3.03% >
ml poly c o is A Other Buyer. 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 2019-02-20,ml poly c o. A Total Of 116 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 ml poly c o'S 116 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 ml poly c o. 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 Buyer Company Database. That Including Email And Have Transaction Recently Will Be Pushed. So Suggest You Follow ml poly c o, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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