legume logic

Activity value 61 united states Buyer, the last transaction date was 2016-03-20 Address: 301 3rd st nw, box 317crosby ndusa Detail
Accurate Match

Bill of lading data

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  • Trade date 2016/03/20 B/L No. bbvfusnyc1618807
  • Supplier lantmannen Buyers legume logic
  • POLs hamburg PODs new york
  • Supply area England Purchas area United States
  • Weight 20000kg Amount ——
  • Hs code 843359 Product tags laura,boxer,field beans
  • Product description FIELD BEANS BOXER FIELD BE ANS LAURA
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Partners

Products

  • Products Transactions Per Detail
  • field beans
    2 100% >
  • boxer
    1 50% >
  • fanfare
    1 50% >
  • laura
    1 50% >

Hscode rank

  • HSCode Name Transactions Per Detail
  • 090500 1 50% >
  • 843359 1 50% >

Trading Area

  • Area Transactions Per Detail
  • belgium 2 28.57% >
  • france 2 28.57% >
  • england 1 14.29% >
  • netherlands 1 14.29% >
  • netherlands antilles 1 14.29% >

Port statistics

  • Port Name Transactions Per Detail
  • new york 3 42.86% >
  • norfolk 3 42.86% >
  • charleston 1 14.29% >
legume logic 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 2016-03-20,legume logic. A Total Of 7 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 legume logic'S 7 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 legume logic. 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 legume logic, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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