Company Introduction
Soopi Co.,Ltd is a company created in 2002 with the aim of meeting domestic needs on agricultral products such as animal feed but with the need for growing markets, our company became famous in the field of extensions of its farm lands to suit the ever pressing needs and demand and also to meet the desire of international market and competition. This explains why we went into establishments with foreign partners and sooner became renowned in the field of supplying feed for poultry and later extent meeting the pressures of buyers world wide.With full recognition from our government and partners abroad, our company stands as a reliable supplier with reputable references for over 10 years into international trade.Our company specializes in fine quality animal feed produced with the strictest hygiene standards and meticulous quality control guaranteeing the purity of the products. We welcome you all for business.
Order Credit Report
Company Basic Information
- - Company Name
Soopi Co.,Ltd
- - Location
Chula Phon
- - Business Type
Manufacturer
- - Year Established
2002
- - Employees Total
101 - 500
- - Annual Revenue
USD 10,000,001 - 50,000,000
- - Website
-
- - EC21 Storefrontmasoudmoong.en.ec21.com
-
- Selling Categories
Agriculture > Animal Feed
Agriculture > Grain
Agriculture > Plant & Animal Oil
Chemicals > Feed Grade Proteins
- - KeywordHay, Alfalfa Hay, timothy hay, Yellow corn, Fish meal, corn oil, soybean meal, fish oil, broen rice
Contact Information
- - Address
11 Chula Phon, Nakhon Sie Thammarat Chula Phon, Nakhon Sie Thammarat
- - Country/Region
Thailand
- - Phone
66 - 971 - 821527
- - Fax
66 - 22 - 4678475
- - Contact Masoud Moong
EC21 Membership Information
- - Membership Class Free Member
- - Membership Year 11 years
- - Last Online Yesterday
- - EC21 Registered Date Sep 27. 2015
- - Authentication Unverified
- - EC21 Registered IP
49.49.250.***
This is
Soopi Co.,Ltd‘s IP address when
Soopi Co.,Ltd joined EC21.com.
- Geolocation based on IP address:
Thailand
Please use above information to identify fraud company with rough assumption. It has 99.8% accuracy on a country level.
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