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基于Deepseek的银行客户经理实战陪练AI解决方案,日均节省客户1.5小时精力 | 创新场景
Tai Mei Ti A P P·2025-09-08 01:13

Core Insights - The current training model for bank relationship managers is misaligned with actual business needs, focusing on memorization of product knowledge rather than real-world customer interaction and personalized marketing skills [1] - There is a pressing need for tools that can simulate real business scenarios to enhance the comprehensive financial marketing capabilities of relationship managers [1] Solution Overview - The proposed solution is an AIGC application product based on Deepseek, designed specifically for bank relationship managers, utilizing the "Zhihai - Jinpan" vertical financial model to simulate various retail financial scenarios [2] - This system emphasizes role-playing and immersive practice, assisting managers in analyzing customer needs, refining product selling points, and optimizing marketing language [2] Core Functions - The system supports dual-mode interaction where AI can play either the customer or the relationship manager, covering over 30 segmented customer interaction scenarios and more than 50 business scenarios [7] Technical Support - The "Zhihai - Jinpan" model has been trained on a knowledge base of over 100,000 general retail financial knowledge, covering more than 100 retail product analyses and 50 scenario scripts, with capabilities in financial Q&A, text generation, and reasoning analysis [4] Implementation Process - The implementation process includes logging in, selecting business scenarios, choosing practice modes, real-time practice, and receiving AI feedback, creating a closed loop of training, practice, and feedback [5] Effectiveness - Efficiency improvements include saving relationship managers over 1.5 hours daily in customer analysis and marketing preparation, enhancing overall marketing and customer retention efficiency [6] - Cost reductions are achieved by simplifying training processes and establishing a professional, ongoing learning system [6] - Capability upgrades are noted in customer need analysis, product marketing skills, and asset allocation suggestions, indirectly increasing customer satisfaction and business conversion rates [6] - The innovation in training models shifts from traditional knowledge transfer to practical capability transformation, enhancing the professionalism of retail financial services [6]