Wal Mart

united states Buyer,Company's trade data has been updated to 2020-09-06

wal mart is an united states Buyer(woodland group,united states,usa). The following data of trade reports comes from customs data. This company's import data update to 2020-09-06, a total of 209893 transactions. Based on these data, we made statistics and summary from the trade partners, import-export ports, purchasing countries, HS codes, and contact information. It will help you to improve the use sufficiency of trade data. This picture is the market trend analysis of wal mart about a near year and we can learn this company's procurement cycle and business stability from the quantity, weight, price, and the number of transactions.

Shipments

(The Latest 15)
Freight Information
B/L No. Weight15844.0 KG
Buyerwal mart Container Qty636.0 OTHER
Supplierwelspun global brands ltd. Total Amount
Trade Date2020/06/29 Unit Price
PurchaseUnited States Pack— (Unit)
OriginIndia Shipping Portmundra
HS code Purchase Port Portsavannah ga
ProductsPROCESSED COTTON MADEUPS 100 COTTON BATH HAND WASH TERRY TOWELS MS TEXTURED BATH HAND WASH BATHSHEET PO 2616442510 PROCESSED COTTON MADEUPS 100 COTTON BATH HAND WASH TERRY TOWELS MS TEXTURED BATH HAND WASH BATHSHEET PO 2616442510 PO TYPE 40 COMM INV N O INVOICE DA TE REF PSI N O S B NO TOTAL QTY 21840 PCS SHIPMENT I S CONSISTENT AST NEGOTIATED PURCHASE O RDER PURCHASE O RDER NUMBER 2616442510 TOTAL PKGS 636 PK 2ND NOTIFY SCHNEIDER LOGISTICS ILM DEPT 1555 ROAD GREE N BAY WI 54304 EMAIL ILMDRAY SC HNEIDER COM TEL 1 800 525 9358 PART LOAD CONTAINER S COVERED BY BLS EID0297 PO TYPE 40 COMM INV N O INVOICE DA TE REF PSI N O Contactschneider logistics
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Trading Partner

Company Nation Transaction Proportion Detail
navneet education ltd. india 10810 6.5% >
damco as other 3952 2.4% >
dandee international ltd. china 2849 1.7% >
damco shen zhen on behalf of china 2309 1.4% >
calson investment ltd china 2211 1.3% >
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Trade Area

Country Area Rank Transactions Proportion Detail
china Top 1 70232 40.1% >
india Top 2 19751 11.3% >
other Top 3 15744 9.0% >
russia Top 4 13843 7.9% >
logistic dataset Top 5 10967 6.3% >

Port Statistics

Port Name Nation Transaction Proportion Detail
houston United states 31810 18.2% >
long beach ca United states 24777 14.1% >
norfolk United states 22965 13.1% >
savannah ga United states 22321 12.7% >
mobile al United states 21941 12.5% >
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wal mart is a united states Buyer, the data is from united states customs data. 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 2020-09-06,wal mart a total of 175203 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 wal mart's 175203 transctions.These companies are mainly located in china,india,other .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 wal mart 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 wal mart, at the same time, mark this company's industry and products, it will help you receive more accurate data push.