用8个虚拟专家团队，自动评估新产品概念的可行性和市场潜力。
An Interactive Multi-Agent System for Evaluation of New Product Concepts
- 构建8个角色化智能体，分领域协同评估技术与市场可行性。
- 在显示器概念案例中，评分与行业专家高度一致。
- 结合检索增强生成和真实数据微调，提升判断准确性。
产品概念评估是企业战略资源分配与项目成败的关键阶段。传统依赖专家的方法存在主观偏见、耗时耗力等局限。本文提出一种基于大语言模型的多智能体系统（MAS），通过系统分析产品开发与团队协作研究，确立技术可行性与市场可行性两大评估维度。系统由8个代表研发、市场等领域的虚拟智能体组成，利用检索增强生成（RAG）与实时搜索工具获取客观证据，依据既定标准进行结构化讨论。智能体还基于专业产品评测数据进行微调，以提升判断精度。以专业显示器概念为例的案例研究显示，系统评估排名与资深行业专家高度一致，验证了该多智能体评估方法在支持产品决策中的可用性。
原文摘要 · Abstract (English)
Product concept evaluation is a critical stage that determines strategic resource allocation and project success in enterprises. However, traditional expert-led approaches face limitations such as subjective bias and high time and cost requirements. To support this process, this study proposes an automated approach utilizing a large language model (LLM)-based multi-agent system (MAS). Through a systematic analysis of previous research on product development and team collaboration, this study established two primary evaluation dimensions, namely technical feasibility and market feasibility. The proposed system consists of a team of eight virtual agents representing specialized domains such as R&D and marketing. These agents use retrieval-augmented generation (RAG) and real-time search tools to gather objective evidence and validate concepts through structured deliberations based on the established criteria. The agents were further fine-tuned using professional product review data to enhance their judgment accuracy. A case study involving professional display monitor concepts demonstrated that the system's evaluation rankings were consistent with those of senior industry experts. These results confirm the usability of the proposed multi-agent-based evaluation approach for supporting product development decisions.
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