Live Truck-parts Import data of Indonesia imports from india under HS Code 87089962 via Port Cengkareng-soekarno-hatta , our Indonesia customs import data reports include date, value, quantity, product description, HS code, port, country, and Indonesia truck-parts importers data
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|
| 2024-04-02 00:00:00 |
87089962
|
MOTOR VEHICLE PARTS : 56400CC000 JOINT ASSY-STRG BAIK/BARU | India | Cengkareng Soekarno Hatta | 125.14 | Importer Name | |
| 2024-04-02 00:00:00 |
87089962
|
MOTOR VEHICLE PARTS : 81320CC150 LATCH ASSY-FRONT DOOR,RH BAIK/BARU | India | Cengkareng Soekarno Hatta | 52 | Importer Name |
2024-04-02 00:00:00
MOTOR VEHICLE PARTS : 56400CC000 JOINT ASSY-STRG BAIK/BARU
125.14
2024-04-02 00:00:00
MOTOR VEHICLE PARTS : 81320CC150 LATCH ASSY-FRONT DOOR,RH BAIK/BARU
52
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 87089962 for Indonesia truck-parts imports from Thailand via Port Cengkareng-soekarno-hatta.
Port Cengkareng-soekarno-hatta 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 truck-parts products, enabling better decision-making for trade and market expansion for Indonesia truck-parts imports from india under HS code 87089962 via Port Cengkareng-soekarno-hatta.
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 truck-parts market.
