Sneak Peek: Bricom at the AWS Automotive Industry Summit in Shanghai
- Apr 24, 2025
- 4 min read
Updated: May 6
On April 23 (Wednesday), the 2025 AWS China Automotive Industry Summit was held in Shanghai.
During the afternoon breakout session on “Digital Customer Experience,” Bricom shared insights under the theme of “Data-Driven, AI-Powered: Innovating Digital Customer Experience” as a core AWS partner. The session highlighted an intelligent contact center solution for automotive enterprises built on AWS generative AI services.
AI Customer Service Transformation: A Phased Journey
In the automotive sector’s digital transformation, AI adoption in customer service is not a one-step shift, but a progressive evolution.
AI typically starts as an assistant to human agents and gradually advances to handling complex scenarios such as troubleshooting and technical support. Ultimately, it can take on core service functions, enabling truly intelligent, automated support.
Early Stage: AI Assisting Agents
At this stage, AI primarily handles FAQs. Human agents remain central, while AI acts as a support tool. Capabilities such as intelligent IVR, chatbots, and automated ticket routing enable roughly 30% of routine inquiries to be resolved automatically.
Mid Stage: AI as a Key Contributor
With the integration of large language models and domain knowledge bases, AI can manage over 60% of customer inquiries. It evolves into an “expert assistant,” significantly improving operational efficiency and customer experience.
Advanced Stage: AI as the Primary Workforce
AI handles the majority of service interactions, while human agents shift into two critical roles: AI trainers and specialists for complex cases. This enables true human-AI collaboration, allowing agents to focus on high-value tasks.
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Five Key Trends in AI-Driven Global Contact Centers
Based on extensive international automotive use cases, Bricom identified five emerging trends in AI adoption:
Omnichannel Engagement
Customer interactions are expanding beyond voice and text to include video, images, and file-based communication.
Widespread Adoption of Intelligent Platforms
Automated ticket routing, AI-powered responses, and solution recommendations have become standard. Handling over 60% of inquiries via bots is now commonplace.
Data-Driven Operations
Focus has shifted from response time to resolution rate, customer satisfaction (CSAT), lifecycle value, and conversion. Data-driven optimization is becoming the norm.
Intelligent Workforce Management
Platforms such as Amazon Connect enable real-time speech analytics, sentiment detection, automated QA, and workforce management (WFM), significantly improving operational efficiency.
Evolving Pricing Models
The shift from seat-based pricing to usage-based models is redefining the economics of AI-powered customer service, with greater emphasis on delivered business value.
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Despite clear trends, automotive companies still face major challenges in global AI deployment:
Limited Multilingual Capabilities
Supporting dozens of languages and cultural contexts is difficult to scale through hiring alone.
Complex Local Knowledge Base Development
Automotive service requires deep technical expertise, making localized knowledge management highly demanding.
Regulatory and Cultural Variability
Differences in compliance, customer rights, and data privacy significantly complicate standardized global service models.
Building a Global Intelligent Contact Center: Four Priorities
To address these challenges, Bricom recommends focusing on four core capabilities:
Advanced Natural Language Understanding (NLU)
Ensure accurate intent and sentiment recognition across languages and scenarios.
Localized Knowledge Base Development
Build structured FAQ and workflow systems tailored to local markets and cultural contexts.
Flexible Service Workflow Design
Create differentiated processes for scenarios such as roadside assistance, maintenance scheduling, and aftersales support.
End-to-End Customer Journey Enablement
Deliver seamless omnichannel experiences across pre-sales, purchase, and aftersales touchpoints.
Bricom Solution: Enabling AI-Powered Customer Service Transformation
With deep expertise in intelligent customer service, Bricom has supported numerous automotive brands in their global expansion.
Bricom provides one-stop global contact center platform that integrates fragmented systems into a unified data layer, enabling efficient AI deployment.
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More importantly, Bricom provides stage-based, tailored transformation strategies. From speech recognition and NLP capabilities to ticketing systems and CRM integration, solutions are aligned with each company’s maturity level—maximizing ROI while minimizing risk.
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Practical Recommendations for AI Transformation
During 2025 AWS China Automotive Industry Summit, Bricom also shared key takeaways for enterprises embarking on AI-driven customer service transformation:
Assess your current maturity level
A clear understanding of your starting point is critical for defining the right strategy.
Develop a practical AI roadmap
Plan phased AI adoption aligned with business needs to ensure effective implementation.
Execute transformation incrementally
Progress steadily with a structured approach—AI transformation requires long-term commitment and strategic investment.
Closing thoughts
Amid the shift toward electrification and intelligent vehicles, AWS continues to empower automotive innovation with solutions spanning software-defined vehicles, connected mobility, autonomous driving, and digital customer experience.
Looking ahead, Bricom will continue its collaboration with AWS to explore smarter customer experience solutions and support Chinese automotive brands in their global expansion.
Beijing Bridge Communication Co., Ltd (Bricom) is an AWS Partner Network (APN) Partner and a Zendesk Premier Partner. Bricom empowers enterprises in China and around the world to achieve digital transformation and continuous innovation, providing implementation capabilities for Amazon Connect and Zendesk, as well as lifecycle management services for Contact Center as a Service (CCaaS).
We offer one-stop integrated solutions for customer interaction data, effectively addressing data silo issues and facilitating the seamless deployment of AI applications for enterprises. By building a unified customer data platform, we realize omnichannel data aggregation and intelligent routing, empowering contact centers to deliver seamless service experiences and fully unlock the value of AI.
Wechat Official Account: Bricom普利康姆 |
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