Live Beans Export Data of Brazil by HS Code 09011110 for Brazil Exports to Italy via port Genova. Our Brazil Export Bill of Lading Data and Brazil Export Data by HS Code, country, or port include HS code, date, B/L number, product description, loading and unloading ports, Brazil Exporter/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
December 30, 2021 |
09011110 |
1 X 20 Containers Containing 325 Bags Of Green Coffee Beans |
Italy | Genova |
19337 |
kgm |
19337 |
Exporter Name |
|
December 30, 2021 |
09011110 |
1 X 20 Containers Containing 325 Bags Of Green Coffee Beans |
Italy | Genova |
19344 |
kgm |
19344 |
Exporter Name |
|
December 30, 2021 |
09011110 |
1 X 20 Containers Containing 325 Bags Of Green Coffee Beans |
Italy | Genova |
19337 |
kgm |
19337 |
Exporter Name |
|
December 21, 2021 |
09011110 |
1 X 20 Containers Containing 320 Bags Of Brazilian Green Coffee Beans |
Italy | Genova |
19360 |
kgm |
19360 |
Exporter Name |
|
December 21, 2021 |
09011110 |
2 X 20 Containers Containing 2 Bags Of Green Coffee Beans |
Italy | Genova |
43214 |
kgm |
43214 |
Exporter Name |
|
December 21, 2021 |
09011110 |
10 X 20 Containers Containing 200 Bags Of Green Coffee Beans |
Italy | Genova |
200500 |
kgm |
200500 |
Exporter Name |
|
December 21, 2021 |
09011110 |
2 X 20 Containers Containing 650 Bags Of Green Coffee Beans |
Italy | Genova |
38675 |
kgm |
38675 |
Exporter Name |
|
December 21, 2021 |
09011110 |
3 X 20 Containers Containing 1002 Bags Of Brazilian Green Coffee Beans |
Italy | Genova |
60621 |
kgm |
60621 |
Exporter Name |
|
December 21, 2021 |
09011110 |
3 X 20 Containers Containing 60 Bags Of Green Coffee Beans |
Italy | Genova |
60120 |
kgm |
60120 |
Exporter Name |
|
December 21, 2021 |
09011110 |
5 X 20 Containers Containing 5 Bulk Cont Of Green Coffee Beans Green Coffee Beans |
Italy | Genova |
108035 |
kgm |
108035 |
Exporter Name |
2021-12-30 00:00:00
1 X 20 Containers Containing 325 Bags Of Green Coffee Beans
19337
kgm
19337
2021-12-30 00:00:00
1 X 20 Containers Containing 325 Bags Of Green Coffee Beans
19344
kgm
19344
2021-12-30 00:00:00
1 X 20 Containers Containing 325 Bags Of Green Coffee Beans
19337
kgm
19337
2021-12-21 00:00:00
1 X 20 Containers Containing 320 Bags Of Brazilian Green Coffee Beans
19360
kgm
19360
2021-12-21 00:00:00
2 X 20 Containers Containing 2 Bags Of Green Coffee Beans
43214
kgm
43214
2021-12-21 00:00:00
10 X 20 Containers Containing 200 Bags Of Green Coffee Beans
200500
kgm
200500
2021-12-21 00:00:00
2 X 20 Containers Containing 650 Bags Of Green Coffee Beans
38675
kgm
38675
2021-12-21 00:00:00
3 X 20 Containers Containing 1002 Bags Of Brazilian Green Coffee Beans
60621
kgm
60621
2021-12-21 00:00:00
3 X 20 Containers Containing 60 Bags Of Green Coffee Beans
60120
kgm
60120
2021-12-21 00:00:00
5 X 20 Containers Containing 5 Bulk Cont Of Green Coffee Beans Green Coffee Beans
108035
kgm
108035
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 09011110 for Brazil beans imports from Thailand via Port Genova.
Port Genova typically refers to a port that is used for handling and forwarding shipments from Brazil, 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 beans products, enabling better decision-making for trade and market expansion for Brazil beans exports from italy under HS code 09011110 via Port Genova.
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 beans market.
