URUMQI, China, June 27, 2025 /PRNewswire/ -- Recently, the Youth Vanguard Team of State Grid Xinjiang Information & Telecommunication Company completed the intelligent deployment and debugging of tender document review, signifying that the company has entered a new phase of intelligence in the field of bidding and tendering. By leveraging artificial intelligence technology, the efficiency and accuracy of tender document review have been significantly enhanced, setting a benchmark for digital transformation within the industry.

For a long time, the review of tender documents has primarily relied on manual processes. Experts were required to examine large volumes of documentation page by page, which not only limited efficiency but also introduced inconsistencies due to subjective judgment. Furthermore, traditional electronic systems struggled to meet the demands of processing vast amounts of data and lacked the capability to deeply analyze and extract value from tender documents. These limitations have hindered the quality and efficiency of bidding and tendering operations, highlighting the urgent need for intelligent solutions. 

By utilizing an advanced artificial intelligence platform, State Grid Xinjiang Information & Telecommunication Company has developed an intelligent tender document review system. Through multimodal and semantic modeling capabilities, the system enables rapid content screening. It can automatically identify key elements such as business terms, technical specifications, and qualification certificates, and perform preliminary compliance checks. This advancement significantly reduces the burden of manual review. As a result, bid evaluation experts are relieved from repetitive basic assessments and can focus their efforts on reviewing critical content, thereby shortening the overall evaluation cycle and improving operational efficiency. Additionally, the system's intelligent analysis minimizes human error and ensures greater objectivity and consistency in review outcomes.

Looking ahead, the company plans to further enhance the system by developing automated bid evaluation functionality. By refining the AI model, the system will be capable of performing intelligent comparisons and analyses of tender documents, offering precise decision-support recommendations to evaluators. This initiative aims to drive the bidding process toward higher efficiency and greater transparency.