Leveraging the Power of Enterprise AI: Top 10 Use Cases for SearchAI ChatBot by Timo Selvaraj Jun, 2023

The chatbot would ask them their destination, number of guests, and the time frame to book them a flight or a hotel room based on the given inputs. This task is time consuming and boring for employees, but an ideal job for chatbots. Below image is an example of an HR chatbot demo where an employee is asking his available leave days to the bot.

As you can see, Zalando’s chatbot informs the customer about their order being shipped. It even allows tracking the shipment in real-time and provides access to complete order details like payment history and products purchased. From offering order confirmations to tracking them in real-time, chatbots are capable of more than you think.

Hospitality chatbots

Experienced Chatbot creators will know how we are always afraid of the ‘unknown’ — the generic / unexpected questions that the user might end up asking. So we spend significant effort in designing the flow / guiding the user to ask relevant questions. The main improvement is that ChatGPT is able to carry out continuous conversation, that is, it remembers previous conversations and can replay them to the user. This is still very limited as compared to related research where historical conversation is taken into account by a Chatbot to drive the conversation towards a goal, e.g., making a sale [2, 3].

• According to Statista, in 2019, 2.52 billion mobile phone users used messaging apps, while an estimated 2.95 billion people used social media worldwide in the same year.
• From check-in to several concierge services such as booking restaurants to activity reservations, chatbots can seamlessly assist customers.
• The leading use case for enterprise chatbots is in customer experience solutions, with data indicating that 23% of customer service companies already use AI chatbots to engage with customers.
• That announcement started something of a search chatbot war between Microsoft and Google.
• You can generate a high level of engagement by using images, GIFs, and videos.
• However, your chatbot must have the ability to integrate with a knowledge base solution so it can fetch the correct answers and reduce resolution time.

Evaluating their suitability and understanding potential constraints is crucial. Although powerful, businesses must be cautious of trade-offs when relying solely on free solutions like OpenAI’s ChatGPT and Google’s Bard. Enterprises should set up a small focused group tasked with experimenting with Generative AI and reengineering core business processes. This group should report to the highest levels in the organization and be goaled with figuring out how to disrupt current processes and business models. Move faster to understand user journeys and meet customer needs by integrating your core systems with domain-specific systems like CRM, search or DAM. Because the bot is easy to use and does not require people to look at and analyze a lot of data, it has seen increased adoption, both by the client, and their customers.

Case Study 2: Chatbots help a tech company cut email overload

It is common knowledge that one bad experience can turn a customer away from your business forever. No customer likes to be kept waiting in the customer service queue waiting metadialog.com for a representative to understand their problem. Now, if your chatbot doesn’t have the same scalability to accommodate thousands of users at a time, it will shut down.

Most of these ready-made chatbot platforms are no-code and have an easy to use interface, making it easier for even a non-technical person to build bots. Choosing to build an enterprise chatbot in-house means you have to invest a lot of time and money in hiring resources. In addition, the time taken to fully develop a chatbot from scratch is too long. There are several methods to go about your enterprise chatbot development. You can choose any of the method as per your business requirement, resource availability, and budget. With such a high demand, enterprise chatbot development has become a must for enterprises worldwide.

Test drive Comm100 Chatbots

This is one major reason behind the proliferation of the chatbot market in recent times. Google DialogFlow is called a « lifelike conversational AI solution. » It comes with cutting-edge virtual agents that help businesses support rich, natural conversations with customers. It uses Google’s well-known AI in a single platform for chatbots and voice bots. The solution gives clients access to multi-turn conversations with follow-up questions built with the same deep learning technologies that power Google Assistant.

The platform automates care along the way by helping to identify high-risk patients and placing them in touch with a healthcare provider via phone call, telehealth, e-visit, or in-person appointment. To avoid the “it does not understand my request” feeling from the user, you need to invest in an NLP-based chatbot, using Neuro-Symbolic AI to detect user intent. The most basic type of chatbot, this variety limits possibilities by offering the user a specific number of buttons. They can answer pre-defined questions and can facilitate the buying journey, for example by guiding user navigation of a website, but they are not able to solve complex requests. They can be lightning quick to deploy, saving considerable time for both the client and the company.

HR chatbot use cases

It helps to get the answers you are looking for without the hassle of waiting on a call or at a branch. Bots are proficient in resolving common queries while reducing the need for human interaction. 68% of customers say that they enjoy getting an instant response and answers to simple questions from a chatbot. Customer service is one of the vital business functions where chatbots have a great impact. As customers are always looking to get quick solutions and personalized help that will boost their experience, chatbots are a valuable asset.

This application was one of the first capable of learning new responses instead of being driven by canned dialog from a database. Chatbots are most popular in healthcare compared to other industries. An AI-powered chatbot can save time in an industry where time is often literally a matter of life and death. Clinic or hospital contact centers don’t get overwhelmed with basic queries, and patients can get quick answers about topics that worry them. Make sure you know your business needs before jumping ahead of yourself and deciding what to use chatbots for.

Five Enterprise Chatbot Use Cases to Future Proof Your Business

That’s why customer onboarding is important, especially for software companies. They can engage the customer with personalized messages, send promos, and collect email addresses. Bots can also send visual content and keep the customer interested with promo information to boost their engagement with your site.

When the customer wants more details or wants to purchase an item, it promptly takes the customer to the website to complete the remainder of the transaction. In the last decade or so, many a retail chain have expanded their online presence through chic websites and apps. Fashion and beauty brands have not been lagging too far either in ramping (pun not intended) up their omnichannel e-Commerce ecosystem. But mobile apps and websites lack the unique ‘personal touch’ that a customer would typically experience at a brick and mortar store. For example, an app would rarely suggest a matching accessory with something you have chosen, or give you a special compliment about how well you looked in your just bought party gown or dress.

Continuous Improvement

Harnessing the benefits of enterprise chatbots is not limited to customer-facing uses. Another impactful use of chatbot solutions is in the company’s HR department. HR often dedicates a lot of time to addressing repetitive questions about its policies and processes. One of the most common uses of enterprise chatbots is customer service.