By analyzing keywords, repetitive iceland phone number material phrases, and user behavior in the conversation, AI can determine whether the customer is looking for information, expressing a complaint, showing interest in a product, or simply needing quick assistance. This analysis makes it possible to prioritize responses, adapt them to the context, and, in many cases, automate them so that the user receives an immediate and personalized response.
Using AI to interpret conversations on WhatsApp allows businesses to offer a more agile and effective experience, providing accurate, empathetic and real-time responses, improving both customer satisfaction and conversion opportunities.
Examples:
Purchase intent detection :
A customer sends a message asking about the features of a specific product. AI analyzes the message and detects keywords such as “price,” “features,” and “shipping,” identifying a clear purchase intent. From this, AI can automatically respond with detailed information about the product or pass the lead to a sales agent, prioritizing the attention of that interested customer.
Emotion Identification :
A customer sends several messages in a short period of time expressing frustration over a technical issue. AI, through natural language analysis, detects a negative tone in the messages and classifies the conversation as urgent. In this case, the query could be prioritized in the support system, ensuring that a human agent takes the conversation to resolve the issue as soon as possible.
Automated response to frequently asked questions :
A customer asks about the business’s opening hours. AI identifies that this is a common query, analyzes the context, and automatically sends a canned response with the hours and additional details such as physical locations or alternative contact. This saves agents time and provides a quick and accurate response to the customer.
