геа

Activity value 62 russia Supplier, the last transaction date was 2014-04-30 Detail
Accurate Match International Firm

Bill of lading data

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  • Trade date 2018/09/03 B/L No. ——
  • Supplier геа Buyers tetra pak russia
  • POLs —— PODs выселки
  • Supply area Other Purchas area Russia
  • Weight 0.45 Amount 811.07
  • Hs code 8424900000 Product tags ——
  • Product description ЧАСТИ МЕХАНИЧЕСКИХ УСТРОЙСТВ
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Partners

Products

  • Products Transactions Per Detail
  • ferrous metal products
    3 60% >
  • gaskets
    2 40% >
  • gum pads
    2 40% >
  • repair and maintenance products
    2 40% >

Hscode rank

  • HSCode Name Transactions Per Detail
  • 7326909309 3 60% >
  • 4016930007 2 40% >

Trading Area

  • Area Transactions Per Detail
  • russia 42 72.41% >
  • ukraine 10 17.24% >
  • latvia 5 8.62% >
  • other 1 1.72% >
геа 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 2014-04-30,геа. A Total Of 58 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 геа'S 58 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 геа. 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 геа, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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