Live Fabric Import data of Vietnam imports from china under HS Code 85 via Port Trang-bang-industrial-park-headquarters , our Vietnam customs import data reports include date, value, quantity, product description, HS code, port, country, and Vietnam fabric importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-05 00:00:00 |
85371019
|
130779000167#&Module PNOZ-X2.8P-PILZ (Control panel, not equipped with programming processor), used for fabric wrapping machine, voltage 24V, brand PILZ, 100% new | China | Trang Bang Industrial Park Headquarters | 1 | PCE | 121.57873 | Importer Name |
2024-04-05 00:00:00
130779000167#&Module PNOZ-X2.8P-PILZ (Control panel, not equipped with programming processor), used for fabric wrapping machine, voltage 24V, brand PILZ, 100% new
1
PCE
121.57873
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 85 for Vietnam fabric imports from Thailand via Port Trang-bang-industrial-park-headquarters.
Port Trang-bang-industrial-park-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 fabric products, enabling better decision-making for trade and market expansion for Vietnam fabric imports from china under HS code 85 via Port Trang-bang-industrial-park-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 fabric market.
