luviyyyy
16-10-20 0 Просмотров

Our History Nantong Xintong Import and Export Co., Ltd., formerly known as Nantong Jiandan Import and Export Co., Ltd., was established in 2008. In 2018, it was renamed Nantong Xintong Import and Export Co., Ltd. Nantong Xintong Import and Export Co., Ltd. is an enterprise dedicated to the import and export of textile products such as men's and women's fashion, needle-woven fabrics, home textiles, protective articles and so on. The company was originally located at No. 693 Changtai Road, Gangzha District, Nantong City, Jiangsu Province. Due to the needs of business development, we moved to the 9th floor, Building 2, Nantong Foreign Trade Center, 166 North Street, Gangzha District, Nantong City, Jiangsu Province. Our Factory Nantong Xintong Import and Export Co., Ltd. has its own factory. The factory is located at No. 693, Changtai Road, Gangzha District, Nantong City, Jiangsu Province, which is the office space where Nantong Xintong Import and Export Co., Ltd. started. The factory employees have a scale of 45 people. In addition, we have production bases in Nantong, Yancheng, Xuzhou and other places, and cooperate with many fabric stores, printing shops, embroidery shops and subcontractors. These factories have a friendly cooperative relationship with our company, and we have been cooperating for many years. We understand and trust each other and complete the company's business requirements on time. Our Product The business scope of Nantong Xintong Import and Export Co., Ltd. includes sales of clothing and face accessories, needle textiles, shoes and hats, bags, leather products, packaging materials, fitness equipment, daily necessities; research and development of textile technology; research and development of needle textiles, clothing and face accessories ; Import or export of goods or technologies (except for imports and exports of goods and technologies that are prohibited by the state or involve administrative approval). (Projects that must be approved in accordance with the law can only be operated after approval by the relevant departments) General projects: sales of daily-use masks (non-medical); sales of hygiene products and disposable medical supplies; wholesale of medical masks; retail of medical masks; electronic products Sales; Information technology consulting services; Sales of first-class medical devices; Sales of second-class medical devices; Retail sales of protective equipment for medical personnel; Wholesale of protective equipment for medical personnel; Sales of labor protection products; Sales of disinfectants (excluding hazardous chemicals); Sales of labor protection articles (except for projects that must be approved according to law, independently carry out business activities according to law with the business license) Product Application Our company's products have a wide range of applications. Everyone can wear our company鈥檚 clothing every day. Our products include all kinds of clothing,such us from summer clothing to winter clothing, from men's clothing to children's clothing. Protective products are divided into civilian and medical. Our company has corresponding test reports for medical masks. In daily life of civilian masks, especially during the new coronavirus outbreak, people can use it everyday, and they can usually block dust and filter sand. The company also has protective clothing and protective gloves, medical personnel can choose to buy, which can effectively protect themselves and others. Our Certificate Nantong Xintong Import and Export Co., Ltd. passed the strict certification of Disney. In terms of medical protective equipment, there are also corresponding test reports for medical masks. Production Equipment Our company's factory is equipped with a reverse machine, cutting table, cutting machine, washing equipment, lockstitch machine, special sewing machine, lockstitch machine, special sewing machine with button, finishing table (bag), cutting machine (handheld), needle detection Machine (conveyor type), needle detector (handheld), point button driver, YKK button sewing machine. Production Market In the past few years,Nantong Xintong Import and Export Co.,Ltd. Has focused on building the Japanese trade market.The mian brands are as follows:Smile Land,From g to you,QVC,espace de calma,Otto,CECILCAUSE,SALON,FABIA,KELTY,UA,UR,RNA,FREE,Founders Club,Rocky Hopper and so on. In 2018, it exported more than 5 million US dollars. In April this year, the Mayor of Nantong City visited the Nantong Foreign Trade Center to investigate the development of foreign trade and came to our company to visit and understand the production process and product technology of clothing. Our Service Nantong Xintong Import and Export Co., Ltd. has a good performance in pre-sale, in-sale and after-sale service in line with the concept of "credit first, customer first". Before the sale, we will patiently answer the customer's inquiries and reply in a timely manner. Once the customer buys our company's products, we will arrange logistics for timely delivery and check the receipt information with the customer. If the customer wants to cancel the order,we will patiently ask the reason for canceling the order, if the reason is justified, we will contact the logistics company in time to give a satisfactory answer to the customer.China Women's Linen Wide-leg Trousers manufacturers website:http://www.ntxintong.com/


Отправить сообщение

Похожие объявления

Womens Knee High Socks manufacturers

 The Lace Ankle Socks are made with 100% nylon, with spandex to have a very comfortable sock for your wear, looks really beautiful. Product Specification Product NameLace Ankle Socks StyleNylon Socks MaterialNylon/Spandex ColorsAssorted in Stock/Custom…

What is a punching mold?

What is a punching mold?    The Punching Mold is an accessory corresponding to the punching machine. The workpiece is plastically deformed under the combined effect of the punching machine and the resistance of the die to complete the processing process.…

Lighting Choices to Save You Money

 Lighting Choices to Save You Money When you switch to energy-efficient lighting, you can light your home using the same amount of Flashlight for less money. Lighting accounts for around 15% of an average home's electricity use, and the average…

How to Choose Luggage, Packs and Bags

 How to Choose Luggage, Packs and Bags Having the right type of Zipper Trolley Luggage, pack or bag for your travels can make packing up and hopping on a plane or hitting the road easier and less stressful. But with so many styles to choose from, deciding…

Separating out foods into component molecules

    Separating out foods into component molecules Food is made up of many different chemical can components or parts, including vitamins, minerals, sugars, fibres, water, lipids, proteins and starches. In addition to these main nutrient components, many…

Пожаловаться на это объявление
Войти чтоб ответить

Поделиться


Profiler

Database (default) 0.292081 s
21.3047 kB
Исходный пункт Min Max Average Всего
SELECT `group_name`, `config_key`, `config_value` FROM `oc2_config` ORDER BY `group_name` ASC, `config_key` ASC (1)
0.001482 s
0.001482 s
0.001482 s
0.001482 s
0.8359 kB
0.8359 kB
0.8359 kB
0.8359 kB
SELECT `oc2_`.`id_crontab` AS `id_crontab`, `oc2_`.`name` AS `name`, `oc2_`.`period` AS `period`, `oc2_`.`callback` AS `callback`, `oc2_`.`params` AS `params`, `oc2_`.`description` AS `description`, `oc2_`.`date_created` AS `date_created`, `oc2_`.`date_started` AS `date_started`, `oc2_`.`date_finished` AS `date_finished`, `oc2_`.`date_next` AS `date_next`, `oc2_`.`times_executed` AS `times_executed`, `oc2_`.`output` AS `output`, `oc2_`.`running` AS `running`, `oc2_`.`active` AS `active` FROM `oc2_crontab` AS `oc2_` WHERE `active` = 1 AND (`date_next` <= '2024-11-07 19:38:20' OR `date_next` IS NULL) (1)
0.000492 s
0.000492 s
0.000492 s
0.000492 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_category`.`id_category` AS `id_category`, `oc2_category`.`name` AS `name`, `oc2_category`.`order` AS `order`, `oc2_category`.`created` AS `created`, `oc2_category`.`id_category_parent` AS `id_category_parent`, `oc2_category`.`parent_deep` AS `parent_deep`, `oc2_category`.`seoname` AS `seoname`, `oc2_category`.`description` AS `description`, `oc2_category`.`price` AS `price`, `oc2_category`.`last_modified` AS `last_modified`, `oc2_category`.`has_image` AS `has_image` FROM `oc2_categories` AS `oc2_category` WHERE `seoname` = 'odezhda' LIMIT 1 (1)
0.000411 s
0.000411 s
0.000411 s
0.000411 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SHOW FULL COLUMNS FROM `oc2_ads` (1)
0.001371 s
0.001371 s
0.001371 s
0.001371 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_ad`.`id_ad` AS `id_ad`, `oc2_ad`.`id_user` AS `id_user`, `oc2_ad`.`id_category` AS `id_category`, `oc2_ad`.`id_location` AS `id_location`, `oc2_ad`.`title` AS `title`, `oc2_ad`.`seotitle` AS `seotitle`, `oc2_ad`.`description` AS `description`, `oc2_ad`.`address` AS `address`, `oc2_ad`.`latitude` AS `latitude`, `oc2_ad`.`longitude` AS `longitude`, `oc2_ad`.`price` AS `price`, `oc2_ad`.`phone` AS `phone`, `oc2_ad`.`website` AS `website`, `oc2_ad`.`ip_address` AS `ip_address`, `oc2_ad`.`created` AS `created`, `oc2_ad`.`published` AS `published`, `oc2_ad`.`featured` AS `featured`, `oc2_ad`.`last_modified` AS `last_modified`, `oc2_ad`.`status` AS `status`, `oc2_ad`.`has_images` AS `has_images`, `oc2_ad`.`stock` AS `stock`, `oc2_ad`.`rate` AS `rate`, `oc2_ad`.`favorited` AS `favorited`, `oc2_ad`.`cf_doppole` AS `cf_doppole` FROM `oc2_ads` AS `oc2_ad` WHERE `seotitle` = 'china-women-s-linen-wide-leg-trousers-manufacturers' LIMIT 1 (1)
0.000345 s
0.000345 s
0.000345 s
0.000345 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_location`.`id_location` AS `id_location`, `oc2_location`.`name` AS `name`, `oc2_location`.`order` AS `order`, `oc2_location`.`id_location_parent` AS `id_location_parent`, `oc2_location`.`parent_deep` AS `parent_deep`, `oc2_location`.`seoname` AS `seoname`, `oc2_location`.`description` AS `description`, `oc2_location`.`last_modified` AS `last_modified`, `oc2_location`.`has_image` AS `has_image`, `oc2_location`.`latitude` AS `latitude`, `oc2_location`.`longitude` AS `longitude`, `oc2_location`.`id_geoname` AS `id_geoname`, `oc2_location`.`fcodename_geoname` AS `fcodename_geoname` FROM `oc2_locations` AS `oc2_location` WHERE `oc2_location`.`id_location` = '0' LIMIT 1 (7)
0.000227 s
0.000433 s
0.000298 s
0.002088 s
0.7031 kB
0.7031 kB
0.7031 kB
4.9219 kB
SELECT `oc2_location`.`id_location` AS `id_location`, `oc2_location`.`name` AS `name`, `oc2_location`.`order` AS `order`, `oc2_location`.`id_location_parent` AS `id_location_parent`, `oc2_location`.`parent_deep` AS `parent_deep`, `oc2_location`.`seoname` AS `seoname`, `oc2_location`.`description` AS `description`, `oc2_location`.`last_modified` AS `last_modified`, `oc2_location`.`has_image` AS `has_image`, `oc2_location`.`latitude` AS `latitude`, `oc2_location`.`longitude` AS `longitude`, `oc2_location`.`id_geoname` AS `id_geoname`, `oc2_location`.`fcodename_geoname` AS `fcodename_geoname` FROM `oc2_locations` AS `oc2_location` WHERE `seoname` IS NULL LIMIT 1 (1)
0.000197 s
0.000197 s
0.000197 s
0.000197 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_ad`.`id_ad` AS `id_ad`, `oc2_ad`.`id_user` AS `id_user`, `oc2_ad`.`id_category` AS `id_category`, `oc2_ad`.`id_location` AS `id_location`, `oc2_ad`.`title` AS `title`, `oc2_ad`.`seotitle` AS `seotitle`, `oc2_ad`.`description` AS `description`, `oc2_ad`.`address` AS `address`, `oc2_ad`.`latitude` AS `latitude`, `oc2_ad`.`longitude` AS `longitude`, `oc2_ad`.`price` AS `price`, `oc2_ad`.`phone` AS `phone`, `oc2_ad`.`website` AS `website`, `oc2_ad`.`ip_address` AS `ip_address`, `oc2_ad`.`created` AS `created`, `oc2_ad`.`published` AS `published`, `oc2_ad`.`featured` AS `featured`, `oc2_ad`.`last_modified` AS `last_modified`, `oc2_ad`.`status` AS `status`, `oc2_ad`.`has_images` AS `has_images`, `oc2_ad`.`stock` AS `stock`, `oc2_ad`.`rate` AS `rate`, `oc2_ad`.`favorited` AS `favorited`, `oc2_ad`.`cf_doppole` AS `cf_doppole` FROM `oc2_ads` AS `oc2_ad` WHERE `seotitle` = 'china-women-s-linen-wide-leg-trousers-manufacturers' AND `status` != 30 LIMIT 1 (1)
0.000617 s
0.000617 s
0.000617 s
0.000617 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_category`.`id_category` AS `id_category`, `oc2_category`.`name` AS `name`, `oc2_category`.`order` AS `order`, `oc2_category`.`created` AS `created`, `oc2_category`.`id_category_parent` AS `id_category_parent`, `oc2_category`.`parent_deep` AS `parent_deep`, `oc2_category`.`seoname` AS `seoname`, `oc2_category`.`description` AS `description`, `oc2_category`.`price` AS `price`, `oc2_category`.`last_modified` AS `last_modified`, `oc2_category`.`has_image` AS `has_image` FROM `oc2_categories` AS `oc2_category` WHERE `oc2_category`.`id_category` = '2' LIMIT 1 (7)
0.000236 s
0.000583 s
0.000316 s
0.002211 s
0.7031 kB
0.7031 kB
0.7031 kB
4.9219 kB
SHOW FULL COLUMNS FROM `oc2_comments` (1)
0.073458 s
0.073458 s
0.073458 s
0.073458 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT COUNT(`oc2_comment`.`id_comment`) AS `records_found` FROM `oc2_comments` AS `oc2_comment` WHERE `id_ad` = '983' AND `status` = 1 (1)
0.000726 s
0.000726 s
0.000726 s
0.000726 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_comment`.`id_comment` AS `id_comment`, `oc2_comment`.`id_comment_parent` AS `id_comment_parent`, `oc2_comment`.`id_ad` AS `id_ad`, `oc2_comment`.`id_comment_tree` AS `id_comment_tree`, `oc2_comment`.`created` AS `created`, `oc2_comment`.`comment` AS `comment`, `oc2_comment`.`status` AS `status`, `oc2_comment`.`id_user` AS `id_user`, `oc2_comment`.`ip_address` AS `ip_address` FROM `oc2_comments` AS `oc2_comment` WHERE `id_ad` = '983' AND `status` = 1 ORDER BY `created` ASC LIMIT 20 OFFSET 0 (1)
0.000749 s
0.000749 s
0.000749 s
0.000749 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_c`.`id_category`, COUNT("a.id_ad") AS `count` FROM `oc2_categories` AS `oc2_c` JOIN `oc2_ads` AS `oc2_a` USING (`id_category`) WHERE `oc2_a`.`id_category` = oc2_c.id_category AND IF(0 <> 0, DATE_ADD( published, INTERVAL 0 DAY), DATE_ADD( NOW(), INTERVAL 1 DAY)) > '2024-11-07 19:38:21' AND `oc2_a`.`status` = 1 GROUP BY `oc2_c`.`id_category` ORDER BY `oc2_c`.`order` ASC (1)
0.023728 s
0.023728 s
0.023728 s
0.023728 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_category`.`id_category` AS `id_category`, `oc2_category`.`name` AS `name`, `oc2_category`.`order` AS `order`, `oc2_category`.`created` AS `created`, `oc2_category`.`id_category_parent` AS `id_category_parent`, `oc2_category`.`parent_deep` AS `parent_deep`, `oc2_category`.`seoname` AS `seoname`, `oc2_category`.`description` AS `description`, `oc2_category`.`price` AS `price`, `oc2_category`.`last_modified` AS `last_modified`, `oc2_category`.`has_image` AS `has_image` FROM `oc2_categories` AS `oc2_category` WHERE `id_category` != 1 AND `parent_deep` IN (0, 1) ORDER BY `order` ASC (1)
0.000314 s
0.000314 s
0.000314 s
0.000314 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_category`.`id_category` AS `id_category`, `oc2_category`.`name` AS `name`, `oc2_category`.`order` AS `order`, `oc2_category`.`created` AS `created`, `oc2_category`.`id_category_parent` AS `id_category_parent`, `oc2_category`.`parent_deep` AS `parent_deep`, `oc2_category`.`seoname` AS `seoname`, `oc2_category`.`description` AS `description`, `oc2_category`.`price` AS `price`, `oc2_category`.`last_modified` AS `last_modified`, `oc2_category`.`has_image` AS `has_image` FROM `oc2_categories` AS `oc2_category` WHERE `id_category_parent` = '2' AND `id_category` != '2' LIMIT 1 (1)
0.068721 s
0.068721 s
0.068721 s
0.068721 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SHOW FULL COLUMNS FROM `oc2_users` (1)
0.001299 s
0.001299 s
0.001299 s
0.001299 s
0.7813 kB
0.7813 kB
0.7813 kB
0.7813 kB
SELECT `oc2_user`.`id_user` AS `id_user`, `oc2_user`.`name` AS `name`, `oc2_user`.`seoname` AS `seoname`, `oc2_user`.`email` AS `email`, `oc2_user`.`password` AS `password`, `oc2_user`.`description` AS `description`, `oc2_user`.`status` AS `status`, `oc2_user`.`id_role` AS `id_role`, `oc2_user`.`id_location` AS `id_location`, `oc2_user`.`created` AS `created`, `oc2_user`.`last_modified` AS `last_modified`, `oc2_user`.`logins` AS `logins`, `oc2_user`.`last_login` AS `last_login`, `oc2_user`.`last_ip` AS `last_ip`, `oc2_user`.`user_agent` AS `user_agent`, `oc2_user`.`token` AS `token`, `oc2_user`.`token_created` AS `token_created`, `oc2_user`.`token_expires` AS `token_expires`, `oc2_user`.`api_token` AS `api_token`, `oc2_user`.`hybridauth_provider_name` AS `hybridauth_provider_name`, `oc2_user`.`hybridauth_provider_uid` AS `hybridauth_provider_uid`, `oc2_user`.`subscriber` AS `subscriber`, `oc2_user`.`rate` AS `rate`, `oc2_user`.`has_image` AS `has_image`, `oc2_user`.`failed_attempts` AS `failed_attempts`, `oc2_user`.`last_failed` AS `last_failed`, `oc2_user`.`notification_date` AS `notification_date`, `oc2_user`.`device_id` AS `device_id`, `oc2_user`.`stripe_user_id` AS `stripe_user_id`, `oc2_user`.`google_authenticator` AS `google_authenticator` FROM `oc2_users` AS `oc2_user` WHERE `oc2_user`.`id_user` = '156' LIMIT 1 (1)
0.000379 s
0.000379 s
0.000379 s
0.000379 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
SELECT `oc2_ad`.`id_ad` AS `id_ad`, `oc2_ad`.`id_user` AS `id_user`, `oc2_ad`.`id_category` AS `id_category`, `oc2_ad`.`id_location` AS `id_location`, `oc2_ad`.`title` AS `title`, `oc2_ad`.`seotitle` AS `seotitle`, `oc2_ad`.`description` AS `description`, `oc2_ad`.`address` AS `address`, `oc2_ad`.`latitude` AS `latitude`, `oc2_ad`.`longitude` AS `longitude`, `oc2_ad`.`price` AS `price`, `oc2_ad`.`phone` AS `phone`, `oc2_ad`.`website` AS `website`, `oc2_ad`.`ip_address` AS `ip_address`, `oc2_ad`.`created` AS `created`, `oc2_ad`.`published` AS `published`, `oc2_ad`.`featured` AS `featured`, `oc2_ad`.`last_modified` AS `last_modified`, `oc2_ad`.`status` AS `status`, `oc2_ad`.`has_images` AS `has_images`, `oc2_ad`.`stock` AS `stock`, `oc2_ad`.`rate` AS `rate`, `oc2_ad`.`favorited` AS `favorited`, `oc2_ad`.`cf_doppole` AS `cf_doppole` FROM `oc2_ads` AS `oc2_ad` WHERE (`id_category` = '2' OR `id_location` = '0') AND `id_ad` != '983' AND `status` = 1 ORDER BY RAND() LIMIT 5 (1)
0.113493 s
0.113493 s
0.113493 s
0.113493 s
0.7031 kB
0.7031 kB
0.7031 kB
0.7031 kB
Kohana 0.011079 s
143.8672 kB
Исходный пункт Min Max Average Всего
find_file (220)
0.000008 s
0.000107 s
0.000050 s
0.011079 s
0.4609 kB
3.2109 kB
0.6539 kB
143.8672 kB
Requests 1.683673 s
1,776.0078 kB
Исходный пункт Min Max Average Всего
"odezhda/china-women-s-linen-wide-leg-trousers-manufacturers.html" (1)
1.685735 s
1.685735 s
1.685735 s
1.685735 s
1,798.1016 kB
1,798.1016 kB
1,798.1016 kB
1,798.1016 kB
Запуск приложения (1) 2.665576 s 2.665576 s 2.665576 s 2.665576 s
3,629.7578 kB 3,629.7578 kB 3,629.7578 kB 3,629.7578 kB

Окружающая среда

Включённые файлы (194)

Загруженые расширения (64)

$_SESSION

$_SERVER