Collect India Export Data of product under HS Code 52082120 at SEAIR Exim Solutions. This is a sample report that provides authentic export statistics of product under HS Code 52082120.
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Date | Indian Port | CTH | Item Description | Quantity | UQC | U.P.USD | FOB USD | Destination Port | Country | Duty |
---|---|---|---|---|---|---|---|---|---|---|
17-Nov-2016 | chennai air cargo | 52082120 | p/l cotton coloured sarees | 459 | PCS | 5.53 | 2536.08 | toronto | canada | |
17-Nov-2016 | chennai sea | 52082120 | cotton sarees we intend to claim rewardsunder merchandise exports from india scheme (meis) | 363 | PCS | 3.43 | 1243.86 | colombo | sri lanka | |
14-Nov-2016 | chennai air cargo | 52082120 | p/l cotton saree | 115 | PCS | 8.62 | 991.01 | colombo | sri lanka | |
14-Nov-2016 | chennai sea | 52082120 | chield half saree 400 gm (we intend to claim reward under meis) | 120 | PCS | 7.73 | 927.38 | singapore | singapore | |
11-Nov-2016 | delhi air cargo | 52082120 | 100%cotton woven womens saree with blouse | 1 | PCS | 45.61 | 45.61 | new york | united states | |
11-Nov-2016 | nhava sheva sea | 52082120 | ladies garments saree 100% woven cotton | 70 | PCS | 5.49 | 384.53 | jebel ali | united arab emirates | |
06-Nov-2016 | icd tondiarpet | 52082120 | p/l cotton saree | 759 | PCS | 7.75 | 5881.10 | colombo | sri lanka | |
01-Nov-2016 | chennai sea | 52082120 | "cotton sarees ""we intend to claim rewards under merchandise epxport from india scheme(meis)""" | 88 | PCS | 7.90 | 695.56 | port kelang | malaysia | |
26-Oct-2016 | chennai sea | 52082120 | fancy p/l cotton sarees | 10 | NOS | 4.46 | 44.62 | port louis | mauritius | |
24-Oct-2016 | chennai air cargo | 52082120 | cotton sarees | 16 | NOS | 4.15 | 66.40 | toronto | canada |
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Seair Exim Solutions goes beyond statistics and provides detailed information such as exporter names, ports, HS codes, and prices for products.Furthermore, we provide accurate and updated export data, ensuring valuable market insights in the global trade arena.
Our platform provides comprehensive, customizable export data. You can monitor trends, discover purchasers, and analyze competitors, all while filtering by or export items, destinations, dates, and other essential requirements.
Currently, Brazil holds the title of the world's largest exporter. Seair Exim Solutions keeps you up to date with the leading exporters and changing dynamics of trade in the industry.
The specific HSN code for depends on the product type. Seair is proficient in interpreting HS code 5201 for products and assisting you through the complexity of customs guidelines.
Absolutely! To find out accurate “HS Codes” for products, you need to visit the Seair Exim dashboard and explore the HSN codes for specific products.
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The export market is currently booming. Seair's data enables you to track global trade trends, analyze rival strategies, supplier details, and uncover profitable possibilities in this dynamic export market.
We understand the importance of accurate HS codes. We update information for exports every month, ensuring you remain compliant and avoid unnecessary delays.
We provide data-driven insights to help you identify new markets and potential suppliers in key hubs like China, Bangladesh, and Vietnam
Seair Exim Solutions offers a comprehensive database of export data, focusing on several key fields such as exporter names, ports, destinations, volumes, prices, product types (, yarn, fabrics), and more.
The export market includes more than just . We provide insights on the entire range of exported products, such as raw , yarn, textiles, and various completed commodities.
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Seair Exim can provide export data that allows businesses to analyze market trends, opportunities, challenges, and identify potential markets for exports.
With the help of our platform, you can easily analyze and download export data with the names of buyers and suppliers.
While other sources might exist, Seair Exim Solutions provides the latest, 100% genuine, and trusted export data for . From our data-driven dashboard, you can simply obtain the most recent export data as of Nov-2016.
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