smpl logistics warehouse

Activity value 62 united states Buyer, the last transaction date was 2016-01-12 Detail
Accurate Match

Bill of lading data

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  • Trade date 2016/01/12 B/L No. 5221523
  • Supplier papaya overseas Buyers smpl logistics warehouse
  • POLs delhi PODs new york
  • Supply area India Purchas area United States
  • Weight —— Amount 1151.15
  • Hs code 62092000 Product tags cotton bloomer,dress
  • Product description 100%COTTON BLOOMER DRESS
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Products

  • Products Transactions Per Detail
  • cotton
    158 91.86% >
  • kids
    65 37.79% >
  • kids girl
    58 33.72% >
  • lure
    28 16.28% >
  • girls skirts
    27 15.7% >
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Hscode rank

  • HSCode Name Transactions Per Detail
  • 62045200 37 21.51% >
  • 62063000 36 20.93% >
  • 62044220 32 18.6% >
  • 62092000 18 10.47% >
  • 62046200 9 5.23% >
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smpl logistics warehouse 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 2016-01-12,smpl logistics warehouse. A Total Of 172 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 smpl logistics warehouse'S 172 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 smpl logistics warehouse. 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 smpl logistics warehouse, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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