In the current Internet era, people can obtain information quickly and conveniently, and the means of solving problems have become diversified. Maybe the grandparents who are around you will use the Internet to search for 2元彩票, take selfies with Meitu software, and buy grandson's toys on online shopping platforms ...
This phenomenon is actually driven by user demand. All technological advancements and service innovations originate from the needs of users. In the rubber and plastics industry, especially in the field of engineering plastics, some innovators have also emerged, using Internet technology to solve problems for users.
Compared with ordinary plastics (general-purpose plastics), engineering plastics have complex manufacturing processes and high technical thresholds. They are high-value-added products with an import dependency of over 70%. However, in the process of buying and selling engineering plastics, people often encounter these problems: the asymmetry of product attributes leads to counterfeit goods, the asymmetry of supply and demand information leads to the dilemma of buying and selling, and the asymmetry of price information leads to cost control. In general, these are the asymmetry of information in the engineering plastics industry, which has caused a series of problems: high cost of wrong selection, trial and error, and wrong purchase of enterprises, a long process from commercial ideas to product circulation, low industrial efficiency, and resources Serious waste ...
Then, can the raw material commodity attributes (performance, packaging, origin), supply and demand information (delivery date, MOQ), and price information that users pay attention to be presented systematically and guide the actual procurement and production to improve corporate efficiency? Search.net made a brave attempt.
Search.com is a search engine based on imported engineering plastics and plastic physical data. It is based on the plastics industry. Users can find more than 100,000 kinds of plastic properties and corresponding inventory status on the search network. The use of the platform is also very simple. The user enters any plastic type, model, manufacturer, performance, use, etc. in the search box, and the system can automatically match the materials that meet the requirements. In addition, SouMa.com also has online inquiry and order functions, providing users with one-stop material selection and buying services.
Xie Yuhui, founder and CEO of SouMa.com, said that the current iteration time and quantity of data updates in China cannot meet the needs of the innovation of the rubber and plastics industry chain. Seamless docking of information.
Searchnet is not only a platform for information display and raw material trading. Through the collection, cleaning, and analysis of physical property data, SearchNet has created a set of industry algorithms with independent intellectual property rights. In addition to finding intuitive and reliable physical property data, users can more objectively and comprehensively understand the characteristics of raw materials. Physical property comparison, material substitution function, make more scientific material selection decisions, find target materials with lower price and more suitable performance, and reduce the chance of trial and error from the source.
"We are a very good tool provider and partner." Xie Yuhui said that at present, Sournet is opening up to powerful suppliers to create an ecological industrial service for the engineering plastics internet platform and jointly promote the development of the industrial chain.
"Internet + Big Data" allows professional services to break through the constraints of time and space, and can bring more efficient and lasting operational benefits to the upstream and downstream users in the industry chain. And in 2017, the search material network also handed out a beautiful "transcript." Since the opening of online trading, the search material network has exceeded 200 million yuan in engineering plastics online transactions in less than half a year. This also gave Xie Yuhui greater confidence.
Based on the big data of rubber and plastic properties, and using the model of “Google + Jingdong” for B2B, there is no precedent in the world. Looking to the future, Xie Yuhui said that the responsibility on the search network is still very important, and there is still a long way to go.