Live Vehicle Export data of Russia exports to turkmenistan under HS Code 8708405009 via Port Ow-regional-telephone-station-customs-post , our Russia customs export data reports include date, value, quantity, product description, HS code, port, country, and Russia vehicle exporters data
Date |
HS Code |
Product Description |
Destination Country |
Customs |
QTY. |
Unit |
Value($) |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 25, 2024 |
8708405009
|
Gearbox - used spare parts for repair and maintenance of civil vehicles, not intended for industrial assembly, not for military purposes. |
TURKMENISTAN | OW REGIONAL TELEPHONE STATION CUSTOMS POST |
696.2 |
Kilogram |
707 |
Exporter Name |
2024-04-25 00:00:00
Gearbox - used spare parts for repair and maintenance of civil vehicles, not intended for industrial assembly, not for military purposes.
696.2
Kilogram
707
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 8708405009 for Russia vehicle imports from Thailand via Port Ow-regional-telephone-station-customs-post.
Port Ow-regional-telephone-station-customs-post typically refers to a port that is used for handling and forwarding shipments from Russia, 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 vehicle products, enabling better decision-making for trade and market expansion for Russia vehicle exports from turkmenistan under HS code 8708405009 via Port Ow-regional-telephone-station-customs-post.
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 vehicle market.
