Group 1 - Jiangsu Xuanying Smart Technology, formerly known as Yunxuetang, focuses on talent development and intelligent productivity enhancement since its establishment in 2011, completing a brand renewal in 2025 with a mission to "empower people and organizations to progress together" [1] - The company has built three core business systems: intelligent talent management, corporate training content services, and intelligent sales management, becoming a key service provider for the implementation of new quality productivity in industries [1] - As a national high-tech enterprise and a unicorn in Jiangsu, the company has served over 4,000 large and medium-sized enterprises, covering more than 30 million corporate users, including over 25% of the Fortune 500 and over 40% of the China 500 [1] Group 2 - In the context of intensified competition in the high-end liquor industry, Guizhou Zhenjiu has launched an "annual channel expansion plan" requiring the unification of the recruitment capabilities of over 2,000 frontline sales and regional managers within a short period [2] - Traditional training methods face three major challenges: difficulty in translating policy texts into practical dialogue, reliance on scarce instructor resources for large-scale team training, and lack of quantifiable assessment standards for capability mastery, severely limiting recruitment efficiency and channel expansion speed [2] - Xuanying Smart Technology provides a customized solution of "AI practice + practical closed-loop" to address these common industry challenges, reconstructing the sales capability training path [2] Group 3 - The implementation of this case has achieved breakthroughs in training efficiency, capability standards, and business conversion, becoming a typical example of AI empowering traditional industries (high-end liquor) to activate new quality productivity [4] - In terms of efficiency, the understanding speed of sales personnel regarding recruitment policies has nearly doubled within one week, significantly shortening the transition period from learning to practical application, with AI practice accounts expanding from 200 to 600 to support large-scale standardized training [4] - The overall pass rate for AI dialogue assessment reached 91%, with trainees' final scores improving by an average of 26 points compared to initial training, and subjective recognition of dialogue mastery reaching 4.88 out of 5; this directly increased the conversion rate of sales invitations to potential customers by 29%, demonstrating a strong link between training effectiveness and business results [4]