Core Insights - Monus AI, developed by Nanjing Alter Technology, is a leading AI search application focused on consumer decision-making, offering features like specification-level price comparison and intelligent dialogue to enhance shopping efficiency and trust [2][8]. Group 1: Product Features - Monus AI provides a comprehensive decision-making support system for users, integrating six intelligent agents and a rebate system to help users save money and earn during their shopping experience [2]. - The application employs self-developed multi-modal input technology, efficiently processing text, voice, and image inputs, breaking traditional search limitations [8]. - A unique mechanism for identifying consumer decision periods is introduced, achieving a matching accuracy of 94%, which allows for tailored services based on user needs [8]. Group 2: Challenges in E-commerce AI Search - Users face challenges in expressing and matching their needs during different purchasing decision phases, necessitating accurate understanding of multi-modal inputs [5]. - The "same meaning, different names" issue across platforms complicates real-time price comparison and precise matching due to isolated product information [6]. - Traditional recommendation systems struggle with limited generalization and association reasoning capabilities, leading to homogenized recommendations that fail to meet user satisfaction [7]. Group 3: Technological Framework - Monus AI's multi-level intelligent agent system enhances core capabilities through user preference analysis, precise matching, and efficiency optimization [11][10]. - The system has transitioned from a "single search tool" to a "dedicated shopping partner," providing a continuous personalized service experience [13]. - Key technological advancements include semantic compression algorithms that improve data processing speed by three times while reducing overall processing costs by 80% [17]. Group 4: Performance Evaluation - Monus AI has achieved significant performance improvements, including a 25% increase in input-output ratio and a 34.8% reduction in per-user search costs [14]. - The search accuracy has improved from approximately 57% to 92%, demonstrating a 35% enhancement in matching precision [14]. Group 5: Strategic Collaboration - The collaboration between Alter Technology and Amazon Web Services integrates task orchestration frameworks with memory services, providing a clear answer to how AI can truly understand and serve users [15]. - This partnership exemplifies a replicable and scalable practice paradigm for e-commerce AI search, injecting new momentum into the industry [15].