Group 1 - The retail, e-commerce, and internet industries are experiencing unprecedented development opportunities amid a digital wave, but they also face intense market competition and evolving user demands [1] - Customer service is a crucial bridge between companies and users, and its quality and efficiency directly impact user experience, customer retention, and brand image [1] - Traditional customer service models struggle to meet the rapid growth in demand, especially during peak promotional periods like "618" and "Double 11" [4] - High customer service costs arise from the need to hire and train a large number of staff, which can significantly burden small and medium-sized enterprises [5] - Service efficiency and quality vary widely due to reliance on human agents, leading to potential customer dissatisfaction and loss [6] - The value of data generated during traditional customer service processes is often underutilized, as it is scattered across different systems without effective integration and analysis [7] Group 2 - Quick Service is an intelligent customer service system designed specifically for the retail, e-commerce, and internet industries, utilizing advanced technologies like natural language processing (NLP), machine learning, and big data analysis [9] - The system supports multi-channel customer access, allowing users to communicate through their preferred methods, which enhances convenience and efficiency [10] - Quick Service can resolve over 70% of common inquiries quickly, significantly reducing user wait times and alleviating the workload on human agents [11] - The intelligent routing feature optimally allocates inquiries based on various factors, ensuring users receive professional and efficient service [12] - Quick Service generates tickets for complex issues, streamlining the service process and improving resolution rates [13] - The system provides real-time data analysis, helping companies understand user needs and service quality, which supports better decision-making [14] Group 3 - In the retail sector, Quick Service can assist with product inquiries and recommendations, enhancing user purchase intent [16] - During promotional events, the system can proactively inform users about promotions and quickly address their questions, increasing participation and sales [17] - For offline retail, Quick Service can provide information on store locations and services, improving customer engagement [18] - In the e-commerce sector, the system facilitates order management and timely notifications regarding order status, enhancing user experience [19] - Quick Service streamlines after-sales processes, guiding users through returns and complaints, and providing valuable data for product improvement [20] - The system helps maintain customer relationships through personalized services based on user behavior and preferences, increasing loyalty [21] Group 4 - The implementation of Quick Service involves several steps, including demand analysis, system deployment, personnel training, system testing, and ongoing maintenance [28][29][30][31][32] - Future trends for Quick Service include increased intelligence, deeper integration with business scenarios, enhanced user experience, and stricter data security measures [33][34][35][36] - The system aims to evolve from "assisted customer service" to "autonomous customer service," providing more personalized and intelligent support [33]