Tradersoliver li
Activity value 61 china Supplier, the last transaction date was 2020-07-06 Address: level 1 shenzhen intl airport cargshenzhen guangdongNumber of Transactions Quantity Weight
Number of Transactions Quantity Weight
The following trade report data is derived from its trade data; the company's import data up to 2020-07-06 total 1 transactions. Based on these trade data, we have aggregated the data in terms of trading partners, import and export ports, countries of supply, HS codes, contact details and other dimensions, which will help you to improve the efficiency of using your foreign trade data.
The graph above shows the market trend analysis of oliver li for the past year, which can be used to understand the current supply cycle and business stability of the company from the trend of different dimensions such as quantity, weight, price and number of transactions.
- Year Transactions Quantity Weight
Bill of lading data
< 1/1 >- Trade date 2020/07/06 B/L No. iegl22zbsqgfu8xp
- Supplier oliver li Buyers heather goins
- POLs yantian PODs los angeles
- Supply area Other Purchas area United States
- Weight 1kg Amount ——
- Hs code 430310 Product tags garment apparel
- Product description UNDERGARMENT APPAREL
Products
- Products Transactions Per Detail
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garment apparel
1 100% >
We Extract The Trade Partners From oliver li'S 1 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 oliver li. 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 Supplier Company Database. That Including Email And Have Transaction Recently Will Be Pushed. So Suggest You Follow oliver li, At The Same Time, Mark This Company's Industry And Products, It Will Help You Receive More Accurate Data Push.