SaleSmartly adds AI intent recognition triggers! Let customers enjoy more accurate automated services

AI intent recognition technology is a very important component of conversational AI. In layman's terms, it is a technology that can recognize the intentions expressed by users in conversations. By analyzing and learning large amounts of data, AI can understand the information that users want to obtain, and take corresponding actions or provide corresponding responses based on this information. In conversational AI, it can answer and solve user questions more accurately, or help users locate the information they need.

 

The power of AI intent recognition lies in its reasoning ability. It only needs to give them a large amount of data to analyze the data. Not only that, AI can also discover patterns and regularities in the data and apply these patterns and regularities to new data. This enables AI to better understand and handle complex problems and provide more accurate predictions and suggestions. It helps companies process and analyze complex data efficiently and accurately, improving work efficiency and accuracy. At the same time, it can also help companies automatically identify and analyze customer needs and provide more personalized recommendation services.

Application Scenario

In the intelligent customer service system, AI intent recognition technology can help customer service robots understand users' questions and provide corresponding solutions. For example, when a user asks about information about a product, AI intent recognition can help the customer service robot understand the user's intention based on the keyword information mentioned in the user's question and provide corresponding product information. Or when a user asks how to change a password, AI intent recognition can accurately provide corresponding steps and guidance.

 

In intelligent marketing systems, AI intent recognition technology can help companies better understand customer needs and behaviors, thereby developing more effective marketing strategies and sales plans. For example, when users browse products on a website, AI intent recognition can help companies understand user needs and provide corresponding product recommendations and discount information based on user behavior.

 

AI Intent Recognition in SaleSmartly

In the SaleSmartly menu bar [Robot] - Automated Process, a new AI visitor intent recognition trigger has been added. This function is universal across all channels (including online chat (LiveChat), WhatsApp, Facebook Messenger, Instagram, Telegram, Email, WeChat, LINE). This technology is mainly based on OpenAI's ChatCPT-4.0.

 

Enterprises can enter the content of information that customers may send in advance. In subsequent actual conversations, if customers send similar messages, the AI model will automatically recognize them and automatically answer the previously set information. As shown in the figure below, we can set up questions such as "How to buy clothes", "How much are clothes", "What materials are clothes made of", "Mail/delivery method", "Is the clothes waterproof and windproof", etc. in the SaleSmartly system in advance, and set up corresponding replies. When customers actually ask questions similar to these, such as "How are clothes selling now", the system will send the preset answers to customers.

 

In actual use, we can set it up according to the content of our own products and some frequently asked questions by customers, and try to set the frequently used words into the SaleSmartly automation system. This can not only improve the efficiency of customer communication, but also reduce the workload of manual customer service.

 

Summarize

In addition, AI intent recognition can also be applied to other scenarios, such as smart navigation, smart recommendation, smart search, etc. As a tool with reasoning ability, AI can help us better understand and deal with complex problems and optimize our decision-making. Salesmartly uses AI's reasoning ability to better serve customers and help companies improve customer satisfaction and work efficiency.

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Last modified: 2024-05-09Powered by