Zia is Zoho's AI-powered virtual assistant. Some of Zia's capabilities include anomaly predictions, sentiment analysis, reply assistance, and suggesting knowledge base articles or responses to support agents. By leveraging Zia's capabilities, businesses can personalize customer interactions, enhance the efficiency of their teams, and deliver exceptional customer experiences.
With Zia's immense capabilities integrated with ChatGPTs generative AI, customers can experience relevant, context-specific, and more personalized communication, allowing them to feel heard and understood.
Zia and generative AI can analyze user input and generate responses based on its understanding of the user's intent, making the conversation more natural and empathetic. It can analyze the ticket and provide a short summary with key takeaways. While Zia highlights the sentiment of the ticket, generative AI can take it a step further by stating the underlying emotion and providing a more meaningful response resulting in a satisfying experience. This will enable support agents to better understand and empathize with customers to deliver solutions that resonate with them and even motivate the customers to continue the conversation and work towards a resolution.
Consider a scenario where a customer contacts a software company's customer support with a complex technical issue. Here, Zia Powered by ChatGPT plays a vital role by analyzing the tone and sentiment of the customer's detailed support request. With this information, along with the key details provided in the customer's request, Zia and the generative AI collaborate to generate a relevant response that effectively addresses the customer's concerns and offers potential solutions to their issue.
Additionally, Zia Powered by ChatGPT can summarize the main points of the customer's request, enabling support agents to better understand the customer's needs and deliver personalized support. This efficient process not only saves valuable time for support agents, but also ensures that customers receive a prompt and effective customer service experience.
As AI-powered tools like Zia and OpenAI continue to gain popularity in the customer service industry, businesses that adopt these technologies are likely to gain a competitive advantage and experience significant improvements in their customer service operations.
Zia and OpenAI can bring great advantages and have a profound impact on customer service through their powerful features.
One of the features in Zia powered by GPT is Ticket Prediction, which allows it to summarize incoming customer inquiries and detect the emotion behind them. This can save agents time and effort by providing a quick overview of the customer's concern, allowing them to address the issue more efficiently. With this feature, agents can also understand the customer's tone and sentiment, which can help them to better empathize with the customer and provide a more personalized response.
For instance, consider a customer reaching out to a software firm with their concern about a recurring software issue. In such a case, the Ticket Prediction feature accurately summarizes the customer's inquiry, highlighting the key points of their issue and the frustration they are experiencing. This helps the support agent to empathize with the customer's sentiment and provide a personalized response, reassuring them that the technical team will investigate the problem thoroughly. This not only saves time for the support agent, who is equipped with a concise overview of the issue, but also helps them to address the customer's concerns more efficiently and with empathy.
Reply Assistance suggests optimal replies for incoming customer inquiries. This can save agents time, improve consistency, and enhance the quality of their responses. The reply is generated based on the options chosen while configuring Zia powered by GPT. Here's how it works:
1. Both open domain data and knowledge base enabled:
2. Only ChatGPT enabled:
3. Only knowledge base enabled and relevant articles found:
4. Only knowledge base enabled and no relevant articles found:
For example, consider a customer reaching out to a tourism industry wanting some suggestions to make the most of his trip. In such a case, Reply Assistance feature assists in generating a response by providing relevant knowledge base context related to popular tourist attractions, outdoor adventures, and historical sites in the city. If the knowledge base does not have relevant information, ChatGPT will provide a suggestion based on general public data, ensuring that the customer receives a useful and personalized response.
With the Ask a Question, agents can ask any question , and Zia powered by GPT, will generate a response based on the configured settings. For example, if the agent asks for recommendations on the best tourist attractions in a city:
When a customer interacts with Zia via a support ticket, their query or request is sent to ChatGPT, which analyzes the language and context of the query to generate an appropriate response. The response is then sent back to Zia, which presents it to the user in a conversational format. To achieve this, Zia and ChatGPT work together in a process called natural language understanding and generation.
Enabling Zia powered by GPT in Zoho Desk is a straightforward and hassle-free process. Let's outline the steps involved in enabling this feature:
Feature Preferences: Once authenticated, you can proceed to enable the available features. These include:
Ticket tone analysis: Detects the sentiment or emotion behind a customer's inquiry. It works by analyzing the customer's message for specific language patterns, such as positive or negative words, as well as the overall context of the message. Based on this analysis, Zia can determine the customer's sentiment and assign a tone label, such as happy, angry, sad, frustrated, and more.
Ticket summary: Provides a summary of incoming customer inquiries. Here, users can predict ticket summaries for previous threads within a ticket. This feature includes options such as recent, initial, and multiple ticket threads (up to 5) to enhance the accuracy and relevance of summary. For example, if an agent is handling a ticket with a complex history, they can select the multiple ticket threads option to review summaries and responses from up to 5 previous threads. This helps them provide a more informed and contextually appropriate reply to the customer.
Reply assistance: Suggests optimal replies for customer inquiries. Here users can choose to generate the reply using either open-domain data, knowledge base articles, or both. For open-domain data option the reply will be generated automatically and for knowledge base articles option the reply will be generated only when the user clicks on the 'Predict' button.
The availability of the Ticket Tone Analysis, Ticket Summary, and Reply Assistance options in the ticket detail view will depend on the features that were selected during the integration's activation.
OpenAI will use only the customer's support inquiry message, including any comments, threads, and knowledge base articles, to predict and generate ticket responses. It does not access any information beyond what is provided in the support inquiry message. For more details on data handling, please refer to the Zia and GPT data privacy section.
Zia powered by GPT, currently supports 13 languages - English, Spanish, German, Russian, French, Portuguese, Italian, Dutch, Danish, Swedish, Hindi, Arabic, Hebrew. We are actively working on expanding language support even further.
In the API key field, enter your OpenAI API key for authentication.
In the Feature Preferences section, toggle Ticket Tone Analysis, Ticket Summary, and/or Reply Assistance features, as required.
For Reply Assistance, you can choose to generate reply with Open-Domain Data, Knowledge Base articles, or both.
In the General Preference section, Choose the desired GPT model and Prediction Preference option.
For Prediction Preference, you can choose Auto generate predictions or Generate predictions on click.
If you are not satisfied with the ticket prediction and response generated by Zia powered by GPT, you can choose to regenerate them until you are satisfied. When regenerating a reply in the Reply Assistance tab, agents can select from several tone options, including Formal, Informal, Diplomatic, Assertive, or Humorous. Here’s a brief description of each:
Here, you can also choose to adjust the response length, whether it needs to be longer or shorter.
While Zia powered by GPT can be a helpful tool for customer support agents, there may be instances where it is not needed or preferred. In such cases, disabling the feature can be useful. You will be able to re-enable it whenever needed. You don't need to re-enter your API key or complete the activation process again while enabling the feature.
Learn how to use the best tools for sales force automation and better customer engagement from Zoho's implementation specialists.
If you'd like a personalized walk-through of our data preparation tool, please request a demo and we'll be happy to show you how to get the best out of Zoho DataPrep.
You are currently viewing the help pages of Qntrl’s earlier version. Click here to view our latest version—Qntrl 3.0's help articles.