Live Cover Export data of Vietnam exports to viet-nam under HS Code 39159090 via Port Thu-dau-mot-headquarters , our Vietnam customs export data reports include date, value, quantity, product description, HS code, port, country, and Vietnam cover exporters data
Date |
HS Code |
Product Description |
Destination Country |
Custom Name |
QTY. |
Unit |
Value($) |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 1, 2024 |
39159090 |
Plastic scrap (Protective cover film for metal mask) (Obtained during the production process, from the packaging of the EPE, the goods are processed cleanly without affecting the environment)#&VN |
Viet Nam | Thu Dau Mot Headquarters |
2792 |
KGM |
337.32944 |
Exporter Name |
2024-04-01 00:00:00
Plastic scrap (Protective cover film for metal mask) (Obtained during the production process, from the packaging of the EPE, the goods are processed cleanly without affecting the environment)#&VN
2792
KGM
337.32944
The database includes shipment-level information such as shipment date, HS code, product description, quantity, value, port details, country of origin & destination, & importer-exporter information for accurate trade analysis of products under HS code 39159090 for Vietnam cover imports from Thailand via Port Thu-dau-mot-headquarters.
Port Thu-dau-mot-headquarters typically refers to a port that is used for handling and forwarding shipments from Vietnam, making it important for tracking inland and cross-border trade flows.
It helps businesses understand sourcing patterns, evaluate supplier performance, track pricing trends, and identify demand for cover products, enabling better decision-making for trade and market expansion for Vietnam cover exports from viet-nam under HS code 39159090 via Port Thu-dau-mot-headquarters.
Businesses can identify key importers, evaluate supplier competitiveness, track pricing trends, and analyze demand for specific rubber products to make strategic sourcing and expansion decisions.
Importers, exporters, traders, manufacturers, and market analysts can use this data to understand trade patterns, optimize supply chains, identify potential partners, and gain a competitive advantage in the cover market.
