Live Cushion-cover Import data of Russia imports from china under HS Code 843120 via Port North-west-customs-post , our Russia customs import data reports include date, value, quantity, product description, HS code, port, country, and Russia cushion-cover importers data
Date |
HS Code |
Product Description |
Origin Country |
Customs |
QTY. |
Unit |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-04-24 00:00:00 |
8431200000
|
FORKLIFT TRUCK SPARE PART, NOT INTENDED FOR PUBLIC ROADS - NEW FORKLIFT HOOD (ENGINE COMPARTMENT COVER) ASSEMBLY WITH SEAT, MADE OF NON-ALLOY STEEL, USED, MANUFACTURING METHOD - COMBINED PROCESSING: STAMPING, CASTING, | CHINA | NORTH-WEST CUSTOMS POST | 36 | KG | 42.48 | Importer Name |
2024-04-24 00:00:00
FORKLIFT TRUCK SPARE PART, NOT INTENDED FOR PUBLIC ROADS - NEW FORKLIFT HOOD (ENGINE COMPARTMENT COVER) ASSEMBLY WITH SEAT, MADE OF NON-ALLOY STEEL, USED, MANUFACTURING METHOD - COMBINED PROCESSING: STAMPING, CASTING,
36
KG
42.48
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 843120 for Russia cushion-cover imports from Thailand via Port North-west-customs-post.
Port North-west-customs-post typically refers to a port that is used for handling and forwarding shipments into 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 cushion-cover products, enabling better decision-making for trade and market expansion for Russia cushion-cover imports from china under HS code 843120 via Port North-west-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 cushion-cover market.
