Live Tea Import data of Indonesia imports from malaysia under HS Code 84 via Port Kotabaru , our Indonesia customs import data reports include date, value, quantity, product description, HS code, port, country, and Indonesia tea importers data
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|
| 2024-04-22 00:00:00 |
84193390
|
STEAM SEPARATOR C/W SUPPORTING STRUCTURES | Malaysia | Kotabaru | 1190 | 10000 | Importer Name |
| 2024-04-22 00:00:00 |
84198913
|
STEAM HEADER | Malaysia | Kotabaru | 60 | 3800 | Importer Name |
| 2024-04-22 00:00:00 |
84198913
|
STEAM HEADER | Malaysia | Kotabaru | 80 | 8000 | Importer Name |
| 2024-04-22 00:00:00 |
84198913
|
STEAM HEADER | Malaysia | Kotabaru | 120 | 8000 | Importer Name |
2024-04-22 00:00:00
STEAM SEPARATOR C/W SUPPORTING STRUCTURES
1190
10000
2024-04-22 00:00:00
STEAM HEADER
60
3800
2024-04-22 00:00:00
STEAM HEADER
80
8000
2024-04-22 00:00:00
STEAM HEADER
120
8000
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 84 for Indonesia tea imports from Thailand via Port Kotabaru.
Port Kotabaru typically refers to a port that is used for handling and forwarding shipments into Indonesia, 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 tea products, enabling better decision-making for trade and market expansion for Indonesia tea imports from malaysia under HS code 84 via Port Kotabaru.
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 tea market.
