evgeny vaiman

Activity value 61 united states Buyer, the last transaction date was 2023-11-08 Detail
Accurate Match

Bill of lading data

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  • Trade date 2023/11/08 B/L No. nmccha143newy113
  • Supplier shin-ei international, inc. Buyers evgeny vaiman
  • POLs jenpeg PODs ruwais
  • Supply area Costa Rica Purchas area United States
  • Weight 1830kg Amount ——
  • Hs code Product tags alfa romeo,alfa,used vehicle,spider,chassis,cod,ear
  • Product description USED VEHICLE(S) ALFA ROMEO ALFA SPIDER CHASSIS NO.: ZAR93900005009076 1,830 KGS 11.192M3 ( 440 X 183X 139 ) HS CODE: 870324 YEAR: 2009

Products

  • Products Transactions Per Detail
  • alfa
    2 100% >
  • chassis
    2 100% >
  • cod
    2 100% >
  • ear
    2 100% >
  • spider
    2 100% >
  • +View All

Port statistics

  • Port Name Transactions Per Detail
  • molalla al 1 50% >
  • ruwais 1 50% >
evgeny vaiman is A United States Buyer. This Company's Trade Report Mainly Contains Market Analysis, Contact, Trade Partners, Ports Statistics, And Trade Area Analysis. Official Reference Contact Is From United States Original Bill Of Ladings, Including Email, Phone, Fax, Address, And Official Website. Till 2023-11-08,evgeny vaiman. A Total Of 2 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 evgeny vaiman'S 2 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 evgeny vaiman. 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 United States's Buyer Company Database. That Including Email And Have Transaction Recently Will Be Pushed. So Suggest You Follow evgeny vaiman, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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