企业级知识库
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从信息孤岛到智能协同,企业级知识库提升组织能效 | 创新场景
Tai Mei Ti A P P· 2025-09-06 00:27
Core Insights - The company faces significant challenges in internal communication efficiency and cross-departmental collaboration, particularly in the pre-sales process where FAE struggles to extract and interpret technical details from complex specifications [1][2][3] - The iteration of specification documents is cumbersome, leading to potential errors and delays in progress due to the frequent updates and historical versions [2] - The structural parsing of complex product specifications encounters technical bottlenecks, as traditional OCR technology fails to accurately extract and interpret intricate tabular data [3] Solutions - The company leverages its self-developed Langtum platform to standardize the processing of complex internal documents, build a knowledge base, and optimize workflows, addressing the need for rapid technical support and efficient document updates [4] - Langtum's document parsing module achieves over 90% accuracy in processing product specifications, significantly surpassing traditional methods, with a document parsing precision of 95.7% [5][10] - The platform enables personalized knowledge base construction, allowing employees to quickly extract and integrate knowledge, thereby enhancing decision-making reliability and promoting efficient team collaboration [7] Outcomes - By implementing the Agent application service from Yuhua Technology, the company has transformed its document management and knowledge retrieval processes, shifting from information dispersion to centralized knowledge [9] - The introduction of high-precision document parsing has significantly improved the efficiency of specification management and updates, addressing the challenges of multiple versions and difficult updates [10] - The AI-driven question-and-answer system has redefined pre-sales customer support, achieving a 3x increase in update efficiency and reducing technical support response times by approximately 80%, greatly enhancing customer satisfaction [10]