Live Shoes Import data of Vietnam imports from china under HS Code 847981 via Port Thu-dau-mot-headquarters , our Vietnam customs import data reports include date, value, quantity, product description, HS code, port, country, and Vietnam shoes importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-12 00:00:00 |
84798110
|
Metal shoe molding machine, electrically operated, MODEL:MFORMICS350-4, year of production 2024, disassembled goods according to the attached list. 100% new (Contract number: KTMS-20240115#&15012024) | China | Thu Dau Mot Headquarters | 1 | SET | 422500 | Importer Name |
2024-04-12 00:00:00
Metal shoe molding machine, electrically operated, MODEL:MFORMICS350-4, year of production 2024, disassembled goods according to the attached list. 100% new (Contract number: KTMS-20240115#&15012024)
1
SET
422500
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 847981 for Vietnam shoes 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 into 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 shoes products, enabling better decision-making for trade and market expansion for Vietnam shoes imports from china under HS code 847981 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 shoes market.
