Bangladesh Customs Import Data of food Imports from thailand under HS Code 73 via Port Custom-house-icd

Live Food Import data of Bangladesh imports from thailand under HS Code 73 via Port Custom-house-icd , our Bangladesh customs import data reports include date, value, quantity, product description, HS code, port, country, and Bangladesh food importers data

Date

HS Code

Product Description

Origin Country

Unloading Port

QTY.

Value($)

Importer Name

2024-04-21 00:00:00
73239300
FOOD WARMER (S.S) Thailand Custom House, ICD 294.64 667.44 Importer Name
2024-04-21 00:00:00
73239300
FOOD CARRIER (S.S) Thailand Custom House, ICD 344.99 732.48 Importer Name

Shipment No. 1

Date

2024-04-21 00:00:00

HS CODE

Product Description

FOOD WARMER (S.S)

Origin Country

Unloading Port

QTY

294.64

Weight

667.44

Importer Name

Shipment No. 2

Date

2024-04-21 00:00:00

HS CODE

Product Description

FOOD CARRIER (S.S)

Origin Country

Unloading Port

QTY

344.99

Weight

732.48

Importer Name

FAQs With Answers

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 73 for Bangladesh food imports from Thailand via Port Custom-house-icd.

Port Custom-house-icd typically refers to a port that is used for handling and forwarding shipments into Bangladesh, 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 food products, enabling better decision-making for trade and market expansion for Bangladesh food imports from thailand under HS code 73 via Port Custom-house-icd.

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 food market.

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