After understanding the intent, india whatsapp number data the AI agent takes action based on a predefined AI agent workflow. This could involve pulling information from a system, updating records, or escalating to a human agent.
For instance, if an order is delayed, the AI agent automatically notifies the customer and provides an estimated delivery time. If the customer wants to cancel, it can even process the request.
Here’s when deep learning for AI agents comes into the picture. A well-trained AI agent gets better with each interaction by learning from previous conversations and customer feedback. They can use call logs and machine learning models to refine responses.
For example, if many customers ask, “Why is my order late?” and tend to request human support afterward, the AI can learn to proactively offer solutions before escalating the call.
Communication interface: Learn from previous interactions
A great AI agent is what are the differences between server virtualization and cloud computing?
also accessible on every platform so that businesses can ensure real-time conversations across multiple communication channels.
If a customer calls about their order status, the voice agent answers over voice. But if they later send a WhatsApp or SMS inquiry, the AI will remember the conversation history and continue to offer support without asking customers for details again.
When an AI agent remembers past interactions and adapts to user preferences, it automatically becomes more powerful. For example, Plivo’s AI-powered voice agents can store caller history, making future conversations smoother.
Let’s suppose the same customer calls about their order again. The AI agent recognizes them and starts with: “Hi [Name], I see you called earlier about your order. Do you need more details on the delivery timeline?”
Now that we know the building blocks, let’s understand how to build an AI agent.
Build and train AI agents in 6 steps
Building an AI agent may seem complex, hong kong phone number but breaking it down into six clear steps makes the process straightforward. Let’s go through these steps in detail.
To build an effective AI agent, define its purpose and business goal.
Are you looking for:
- A customer support AI assistant that answers FAQs?
- A fully autonomous agent that operates without human input?
- A marketing tool to analyze trends and offer insights?
- A virtual shopping assistant to recommend products and help close sales?
- An AI financial advisor for personalized recommendations?
For example, if you run an e-commerce store, a virtual shopping assistant such as Plivo’s AI-powered voice bot can guide customers, recommend products based on their browsing history, and even help close sales, all without human intervention.
Customers can get real-time assistance while businesses increase engagement and conversions.