Live Machinery Export Data of US by HS Code 82 for US Exports to Brazil via port Sao-paulo-bra. Our US Export Bill of Lading Data and US Export Data by HS Code, country, or port include HS code, date, B/L number, product description, loading and unloading ports, US Exporter/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
April 27, 2024 |
82058431 |
40 DRY CONTAINER, STC 8 PACKAGES OF PARTS FO R HANDLING, LIFTING OR LOADING MACHINERY. NCM S 8425, 8427, 8205, 8431 INVOICE. # 2424002 A ES ITN X20240423408643 WOODEN PACKAGE NOT APP LICABLE FREIGHT PREPAID |
BRAZIL | SAO PAULO BRA |
1 |
PCS |
2799.62 |
Exporter Name |
2024-04-27 00:00:00
40 DRY CONTAINER, STC 8 PACKAGES OF PARTS FO R HANDLING, LIFTING OR LOADING MACHINERY. NCM S 8425, 8427, 8205, 8431 INVOICE. # 2424002 A ES ITN X20240423408643 WOODEN PACKAGE NOT APP LICABLE FREIGHT PREPAID
1
PCS
2799.62
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 82 for US machinery imports from Thailand via Port Sao-paulo-bra.
Port Sao-paulo-bra typically refers to a port that is used for handling and forwarding shipments from US, 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 machinery products, enabling better decision-making for trade and market expansion for US machinery exports from brazil under HS code 82 via Port Sao-paulo-bra.
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 machinery market.
