servis les

Activity value 62 other Buyer, the last transaction date was 2016-02-10 Address: ія Detail

Bill of lading data

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  • Trade date 2016/02/10 B/L No. ——
  • Supplier фізична особа підприємець стефанович дмитро олександрович Buyers servis les
  • POLs —— PODs cz dymokury
  • Supply area Ukraine Purchas area Other
  • Weight 19000kg Amount 4910.139
  • Hs code 4402900000 Product tags ——
  • Product description 1. ВУГІЛЛЯ ДЕРЕВНЕ НЕАГЛОМЕРОВАНЕ - 19000 КГ, ДОВІЛЬНОЇ ФОРМИ, В РОЗЛАМІ ЧІТКО ВИДНО СТРУКТУРУ ДЕРЕВИНИ. ГОСТ 7657-84
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Partners

Trading Area

  • Area Transactions Per Detail
  • ukraine 21 95.45% >
  • other 1 4.55% >

Port statistics

  • Port Name Transactions Per Detail
  • ua львів 7 31.82% >
  • ua перечин 7 31.82% >
  • cz dymokury 5 22.73% >
  • ua тернопіль 1 4.55% >
servis les 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 2016-02-10,servis les. A Total Of 22 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 servis les'S 22 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 servis les. 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 servis les, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.

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