Advanced computing in the application of non-bidding procurement within supply chains

doi:10.12267/j.issn.2096-5931.2025.10.008

Abstract

Abstract:

Advanced computing technologies are driving the intelligent and systematic transformation of non-bidding procurement, the scalable implementation of which hinges on building a foundational support system based on the synergy of computing power and architecture. Focusing on four core scenarios—qualification verification, contract analysis, expert review, and document generation—this paper elucidates how architectures like heterogeneous computing and distributed inference empower multimodal parsing, multi-model collaboration, and human-AI co-generation, significantly enhancing procurement efficiency, accuracy, and compliance. Aligning with national policy directives, this paper systematically outlines the technological evolution path, application effectiveness, and core challenges of AI-powered non-bidding procurement. It further identifies that future breakthroughs must focus on compute-efficient model design, verifiable generation validation mechanisms, and engineering deployment strategies to build an intelligent procurement system that is efficient, trustworthy, and scalable.

Key words: artificial intelligence, advanced computing, hybrid reasoning, non-bidding procurement, multimodal analysis, document compliance verification

CLC Number:

SHEN Jinhui, SONG Yuchen, TIAN Shuchuan, WANG Yang, LA Zhiyao, LIU Ning. Advanced computing in the application of non-bidding procurement within supply chains[J]. Information and Communications Technology and Policy, 2025, 51(10): 51-58.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2025.10.008

http://ictp.caict.ac.cn/EN/Y2025/V51/I10/51

Figures/Tables 2

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