36氪·2025-09-25 10:45Core Insights - JD.com has launched three major AI products and upgraded platforms at the JDD conference, committing to invest in AI development over the next three years, aiming to create a trillion-scale AI ecosystem [1][3][18] - The company's "scene-driven" strategy has proven effective, validating AI applications within its supply chain before systematically outputting these capabilities [3][4][21] AI Strategy - JD.com's AI strategy has focused on practical applications rather than just technical parameters [4][18] - The company emphasizes that AI must be rooted in real-world scenarios to create value, as demonstrated by its development of large models tailored for specific business needs [18][19] Supply Chain Transformation - JD.com has integrated AI deeply into its logistics operations, with the upgraded logistics brain 2.0 enhancing decision-making through data-driven processes [6][7] - The logistics brain has improved operational standardization by 15%, frontline efficiency by nearly 20%, and human-machine collaboration efficiency by over 20% [6][7] Industrial Applications - The JoyIndustrial model has been embedded throughout the supply chain, utilizing data from over 57.1 million industrial SKUs and more than 40 industry segments [6][7] - AI applications in industrial settings have significantly reduced task completion times and improved compliance and governance standards [7] Healthcare Innovations - JD.com has introduced the JD Medical Inquiry 2.0 model, prioritizing trust and clinical credibility in its AI-driven healthcare solutions [7][8] - The model integrates various medical data types to enhance diagnostic accuracy and completeness [8] Retail Enhancements - In retail, JD.com has developed AI applications that improve consumer decision-making and enhance trust in transactions [8][11] - Tools like AI shopping and AI fitting allow users to make quick decisions based on personalized recommendations [8][11] AI Product Launches - The launch of three AI products and platforms marks JD.com's transition from internal use to external empowerment of AI capabilities [10][11] - JoyAI's capabilities have been extended to consumer services, hardware ecosystems, and enterprise-level applications [11][12] Open Source Initiatives - JD.com has emphasized open-source as a key strategy to lower the barriers for AI application across industries [16][21] - The company has released several supporting capabilities to facilitate the integration of AI into various business contexts [16] Industry Leadership - JD.com's approach reflects a broader industry trend towards demonstrating the ROI of AI applications, moving beyond mere technical specifications [22][23] - The company aims to build a replicable model for AI deep applications, transitioning from internal refinement to external enablement [23]