Treatstock is a smart e-commerce platform focused on providing advanced infrastructure for supplying goods & services to a global market. It provides integrated solutions for small and medium-sized businesses. Treatstock was initially created in 2016 to introduce the advantages of online innovations to offline manufacturing, including 3D printing services. Since then, this idea eventually evolved into providing unique enterprise-level products to help SMBs generate new sales leads by reaching out to worldwide markets using a smart platform.
Treatstock is a collective team of enthusiastic and talented specialists that have come together to revolutionize the world of manufacturing. We always listen to our users feedback and strives to update the platform on a regular basis with new and exciting features, innovations and partnerships.
Our mission at Treatstock is to make the process of ordering products and manufacturing services as quick, easy, transparent, and affordable as possible. Today, we provide the most innovative platform for buying and selling products and services. Currently, we are working on financial technologies in the manufacturing industry and want to make these opportunities available to all businesses and individuals.
We are dedicated to solving issues in B2B manufacturing such as long wait times for price calculations, lack of finance, supplier interactions, unreliable vendors, problems in logistics, and many other pieces of the puzzle that lead to inefficiency and the loss of millions of dollars. Our B2B solutions include the automatization of order processes, price/quote calculations, and tools for searching and comparing vendors. We have also developed free business tools such as widgets, APIs and other features to enable partners and manufacturing companies to generate, receive and manage their orders online. Treatstock is also dedicated to providing a technology infrastructure for companies to control critical aspects of their business including their online presence and financial management processes.
