Customer Service Automation
Cloud Expo had to keep exhibition information current across many complex projects while handling large volumes of attendee and exhibitor questions. Manual Q&A maintenance and human service queues were costly and slow, and the company needed a way to turn event documents and FAQs into always-on support inside its digital exhibition platform.
Reported impact
Cloud Expo turned exhibition consulting into a low-cost, self-service support layer that scales across diverse projects. The chatbot improves participant experience with instant answers, reduces the operating load on service teams, and gives the company a reusable support module that can be rolled out quickly across more than 40 major digital exhibition projects.
Cloud Expo embedded Alibaba Cloud's Tongyi intelligent dialogue robot into its exhibition-service stack so visitor support could move from manual FAQ maintenance to always-on conversational service. The company already runs event platforms, digital marketing tools, and data-driven exhibition services across many projects, so the implementation is designed around fast updates to changing schedules, venue information, and project content. The dialogue robot is integrated directly into mini programs, where exhibitors and attendees can tap into a chat experience instead of waiting for staff to respond. Behind the interface, organizers can upload event documents and FAQ material to create a project-specific knowledge base that answers schedule, venue, and exhibition questions with lower operating cost than traditional manual maintenance. Feedback from those conversations can then be used to refine personalization and future planning across the broader exhibition platform.
Event documents, schedules, location data, and FAQ content are uploaded into a project-specific knowledge base. The Tongyi dialogue robot retrieves from that content when users ask questions inside the mini program, then returns answers and collects interaction data that can be used to refine future exhibition support and planning.
Alibaba Cloud provided a smart customer-service solution based on Tongyi intelligent dialogue robot for project-specific exhibition information display and consultation. (original: 阿里云为特定项目展会的信息展示提供了智能化的客户服务解决方案（通义智能客服机器人）。)
Cloud Expo said different exhibitions required continuously updated information while high consulting demand and expensive traditional Q&A maintenance pushed up operating costs. (original: 不同展会的相关信息需要实时更新... 客户咨询需求量巨大... 传统的问答维护模式亦面临着成本高昂的问题。)
Cloud Expo said organizers can simply upload related documents and FAQs to realize intelligent dialogue service, greatly improving operations efficiency and reducing human burden. (original: 仅需简单上传相关文档与常见问题解答（QA），即可实现智能化对话服务，大幅度提升了运营效率，同时有效减轻了人力资源的负担。)
The dialogue robot is integrated into mini programs so users can tap for immediate answers about schedules, venues, and exhibition content. (original: 通义智能对话机器人能够无缝集成到小程序中... 该智能客服不仅能提供展会的详尽日程安排、精准的场地位置信息，还涵盖了丰富多样的展会相关内容介绍。)
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
Alibaba Cloud Sample Sep 17, 2026 Sinocare (三诺生物) Sinocare was rolling out multiple AI applications for chronic-disease management, including periodic assessment, anomaly analysis, glycemic prediction, diet imaging, and diet guidance, but it had to connect several… AI application launch speed improved 50% AI Gateway · Cloud Monitor 2.0 Alibaba Cloud Sample Archived · Jul 21, 2026 EaseMate EaseMate's AI image and video generation required massive computational power with low-latency delivery. Content safety became paramount — with millions of AI-generated assets monthly, the company needed robust… Alibaba Cloud Model Studio · Qwen Alibaba Cloud Sample Archived · Jun 9, 2026 Akool Akool identified a major gap in the B2B AI video market, where existing tools lacked the stability and usability required for real-world business use cases. Large companies needed solutions that were both powerful and… AI-powered video translation into over 180 languages and dialects in minutes, a process that traditionally took… Alibaba Cloud Model Studio · Qwen 