Fast Technology reported on April 17 that according to media reports, taking the National Energy Group as an example, the recently launched intelligent unmanned review system has greatly improved the accuracy of intelligent review by using AI technology to innovate procurement scenarios.
This measure not only reflects the comprehensive strengthening of supplier management by central state-owned enterprises, but also demonstrates the improvement of the digital and intelligent procurement transaction control system, which saves a lot of operating costs for enterprises. According to the data, in 2022, the procurement cost savings exceeded 540 billion yuan, and AI played a crucial role in it.
In the field of intelligent evaluation and procurement, the "AI bid evaluator" driven by large models is gradually penetrating into the energy industry, improving the fairness and transparency of the procurement process in an intelligent way, thus achieving a new leap in procurement value and efficiency.
Recently, China Coal Development Co., Ltd. and iFLYTEK joined hands to invite the iFLYTEK Xinghuo model to settle in, aiming to use "AI bid evaluators" to promote internal quality and efficiency improvement.
Based on the Spark model, combined with the historical data of China Coal Development Company, iFLYTEK will build the base of the large model of bid evaluation in the energy industry through learning and training. Through the low-intrusion integration method, the model can be quickly integrated with the existing bidding and procurement system to realize the functions of intelligent assisted sourcing document preparation, intelligent assisted bid evaluation of bidding business, intelligent assisted bid evaluation of non-bidding business, and intelligent assisted evaluation of bargaining business, so as to promote the intelligent upgrade of the whole process of bidding and procurement business.
The introduction of iFLYTEK Xinghuo large model technology enables the intelligent bid evaluation system to actively learn "historical bidding documents and bid evaluation reports" and form an enterprise-specific bidding large model knowledge base. This not only changes the traditional bidding evaluation method, but also greatly improves the efficiency of the evaluation and ensures the fairness and impartiality of the evaluation.
In the energy groups that have cooperated, the efficiency of procurement document preparation has been increased by 50% and the review efficiency has been increased by 70% through the practice of intelligent review of non-bidding business and the automatic identification and analysis of procurement documents and quotation documents.
The appointment of the "AI bid evaluator" benefits from the strong technical foundation of the iFLYTEK Xinghuo model. iFLYTEK and Huawei jointly built the first 10,000-calorie scale domestic computing power platform "Feixing No. 1", which makes the iFLYTEK Xinghuo large model V3.5 reach 96% of GPT-4 Turbo's code capability.
iFLYTEK also plans to release the V4.0 version of the iFLYTEK Xinghuo large model, which benchmarks the current capabilities of GPT-4 Turbo, in June this year to further demonstrate its competitiveness with international large models.
According to the "New Generation Artificial Intelligence Development Plan", by 2025, artificial intelligence will become the main driving force for industrial upgrading and economic transformation in the mainland. It is estimated that the scale of the core industry of artificial intelligence will exceed 400 billion yuan, driving the scale of related industries to exceed 5 trillion yuan. At present, China's large enterprises have basically continued to plan and invest in the implementation of artificial intelligence projects, and more than 10% of them have combined artificial intelligence with their main business to achieve the improvement of industrial status or the optimization of business efficiency.
In the face of a vast market of over 100 billion yuan, we believe that more and more "artificial intelligence+" will emerge and drive the growth of related industries. In the future, more "AI employees" will be employed in all walks of life, transforming the creativity of large model technology into new productivity, playing an important role in more fields and scenarios, and promoting the sustainable and healthy development of the social economy.