RCS BUSINESS MESSAGING GUIDE / CHAPTER 2
RCS Business Messaging and Vertex AI
RCS Business Messaging and Google’s Vertex AI can work together to revolutionize how businesses interact with customers.
Vertex AI is a Google Cloud platform that combines all the tools you need to build, deploy, and manage machine learning (ML) models and AI applications.
Generative AI is transforming every industry, including RCS Business Messaging.
RCS Business Messaging combined with Vertex AI allows your business to create engaging, interactive chatbots and messaging experiences for your customers. This provides a more convenient and direct way for customers to connect with your brand than websites or phone calls.
Vertex AI provides a suite of powerful tools for building and deploying advanced AI models:
- Natural language understanding (NLU): Vertex AI’s NLU capabilities allow RCS Business Messaging chatbots to interpret and understand customer queries accurately, even if expressed in unstructured, conversational language.
- Conversational AI: Vertex AI powers the development of sophisticated chatbots that can hold meaningful conversations, provide personalized recommendations, and even complete transactions.
- Sentiment analysis: Vertex AI helps detect customer sentiment within RCS Business Messaging conversations, assisting businesses to measure satisfaction and identify potential issues.
Benefits of RCS Business Messaging and Vertex AI integration
Enhanced customer experience
24/7 support, personalized interactions, and streamlined processes like product discovery and order placement. This all leads to higher customer satisfaction.
Reduced operational costs
AI-powered RCS Business Messaging chatbots can handle a significant volume of common customer inquiries, freeing human agents to focus on more complex issues.
Increased sales opportunities
Proactive product recommendations and product offers, as well as a simplified purchase process within the messaging conversation.
Data-driven insights
Valuable insights into customer behavior, preferences, and pain points.
