Best Clothing Export Commodity Classification – Oujian
Best Clothing Export Commodity Classification – Oujian Detail:
Before the actual import and export of goods, the relevant persons of import and export business can apply in writing and provide the materials needed for commodity classification, and entrust the pre-categorization consulting enterprises
1.Reduce trade risks (with the wrong HS Code the goods would be detained by the customs authority)
2.Improve the accuracy of product cost budgets
3.Reduce logistics costs
4.Lower the violation risks
5.Improve enterprise customs clearance efficiency
6.Enhance the predictability of enterprises’ import and export trade and help prevent customs enforcement risks.
1.First Prize of the 2017 National Import and Export Commodity Classification Skills Competition Team Competition
2.“Mao Xiaoxiao Classification Studio” under Oujian has a national ranking of No. 1 in commodity classification service.
3.In 2017, the pre- classification services are nearly 670,000, ranking No.1 nationwide.
Contact Us
Our Expert
Mr. WU Xia
For further information pls. contact us
Phone: +86 400-920-1505
Email: info@oujian.net
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Cooperation
Our firm aims to operating faithfully, serving to all of our shoppers , and working in new technology and new machine regularly for Best Clothing Export Commodity Classification – Oujian , The product will supply to all over the world, such as: Pretoria, Swansea, Dominica, Adhering to the principle of "Enterprising and Truth-Seeking, Preciseness and Unity", with technology as the core, our company continues to innovate, dedicated to providing you with the highest cost-effective products and meticulous after-sales service. We firmly believe that: we are outstanding as we are specialized.
By Eleanore from Lebanon - 2018.09.29 13:24
The customer service staff is very patient and has a positive and progressive attitude to our interest, so that we can have a comprehensive understanding of the product and finally we reached an agreement, thanks!
By Wendy from Afghanistan - 2017.11.20 15:58