On July 7th, SITI and Shanghai Tramy Green Food Co Ltd. held a signing ceremony for their “Innovation Partnership Plan”. Mr. Shi Qian, vice president of SITI, and Mr. Zuo Longwu, vice GM of Tramy, signed on the agreements as representatives of the parties. Mr. Xu Guanlin, director of technology information section, Shanghai Municipal Light Industry Association, and relevant department leaders of the two parties attended the event.
In his speech, Mr. Shi Qian pointed out that enterprises were the main actors of innovations and what’s more the main carriers of innovation achievements. SITI insists on its core concept of “open innovation and serving industries” and establishes partnership with enterprises to carry out joint innovation and provides services to industries with technologies. He claimed that the development of traditional industries were facing the requirements and challenges of transformation and upgrading while pains and opportunities were in co-existence. SITI needs to integrate advantageous resources, strengthen the construction of its functional platforms and jointly decide the dimension with its “innovation partners” like Tramy so as to propel realistic progress. At the same time, by helping enterprises to cultivate their core competencies via technology drive, SITI would harmoniously resonate its scientific innovation with enterprise development.
Shanghai Tramy Green Food Co is a traditional private enterprise with large-scale production of bean products. It has established a set of mature operation system, from raw material production, food production, distribution and sales, and accumulated a lot of experience data over the years. According to the agreement, the two sides will actively organize and coordinate their resources, based on the company's accumulation of stored data through corporate history, and will focus on the production of raw materials, product marketing, logistics and other core business chains to collaboratively enhance information technology level of enterprise management, to provide support for the intelligent management of scientific decision-making for the company's production and business cooperation, and to accomplish the application demo of big data technology.
