chi le

Activity value 62 vietnam Buyer, the last transaction date was 2022-05-31 Detail
Accurate Match International Firm

Bill of lading data

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  • Trade date 2022/02/25 B/L No. 8446827115
  • Supplier —— Buyers chi le
  • POLs ho chi minh city PODs ——
  • Supply area Vietnam Purchas area ——
  • Weight 12.5other Amount 27
  • Hs code 62059099 Product tags shirt,dress
  • Product description ÁO DÀI NỮ, 70% COTTON 30% POLYESTER, KHÔNG HIỆU, NHÀ SX: LAN NHI#&VN
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Partners

Products

  • Products Transactions Per Detail
  • bluetooth headset
    58 40% >
  • children’s books
    58 40% >
  • food
    33 22.76% >
  • jam
    12 8.28% >
  • marmalades
    12 8.28% >
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Hscode rank

  • HSCode Name Transactions Per Detail
  • 49019990 58 40% >
  • 21069099 33 22.76% >
  • 20079990 12 8.28% >
  • 49021000 8 5.52% >
  • 09012220 5 3.45% >
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chi le 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 2022-05-31,chi le. A Total Of 206 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 chi le'S 206 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 chi le. 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 chi le, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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