payless shopping

Activity value 72 vanuatu Buyer, the last transaction date was 2024-09-11 Detail
Accurate Match International Firm

Bill of lading data

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  • Trade date 2024/09/11 B/L No. ——
  • Supplier i x port worldwide ltd. Buyers payless shopping
  • POLs —— PODs ——
  • Supply area Philippines Purchas area Vanuatu
  • Weight 4595kg Amount 6946.56
  • Hs code 17049099 Product tags candies,columbia,4 case
  • Product description 804 CASES OF CANDIES COLUMBIA
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Products

  • Products Transactions Per Detail
  • mixed nuts
    26 30.23% >
  • chips
    15 17.44% >
  • candies
    14 16.28% >
  • columbia
    14 16.28% >
  • barr
    13 15.12% >
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Hscode rank

  • HSCode Name Transactions Per Detail
  • 20081999000 20 23.26% >
  • 19059090000 12 13.95% >
  • 17049099000 11 12.79% >
  • 19059030000 10 11.63% >
  • 19059020000 6 6.98% >
  • +View All
payless shopping 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 2024-09-11,payless shopping. A Total Of 168 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 payless shopping'S 168 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 payless shopping. 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 payless shopping, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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