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In recent years, AI Chatbots have been all the buzz in the tech and business world. AI Chatbot Examples from companies, big and small, show success in customer interactions. As conversational AI continues to develop, consumers increasingly engage with chatbots. Statistics show definite growth in the use of bots, which is only expected to grow.
AI-powered chatbots mimic written conversations or recorded speech to interpret customer inquiries. This service helps businesses connect with their customers.
Here are some AI Chatbot Examples that show the power of chatbots. They demonstrate various use cases of chatbots throughout various industries.
AI Chatbot Examples
1. Open AI: Multiple Application AI Chatbot
We cannot have a conversation about AI-powered chatbots in 2023 without bringing up ChatGPT. It’s the newest and buzziest release from Open AI. Still, in its Beta testing phase, ChatGPT is already making waves in various areas of life, work, and business. Within academic circles, teachers worry about students writing papers using the smart bot. In customer service, Open AI technology is sparking innovation. It brings possibilities that might change the way live human agents interact with customers.
Of course, much of the future of ChatGPT and its application remains unknown. For now, we can all enjoy some play time with this conversational chatbot. But as a business in any sphere, keep an eye out for further developments.
2. Amazon Lex: Virtual Assistant AI Chatbot
We’ve all heard of Amazon Alexa – a smart home virtual assistant. It can make grocery lists and sing you a song if you ask nicely (and maybe even if you don’t.)
But Alexa has a business-application cousin, Lex. According to the chatbot overview, “Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications.”
“Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such as Amazon Connect), websites, and messaging channels (such as Facebook Messenger). The automated chatbot designer expands the usability of Amazon Lex to the design phase. It uses machine learning (ML) to provide an initial bot design that you can then refine and launch conversational experiences faster.” (Amazon Web Services)
3. Synchrony Bank Assistant: Simple Tasks Chatbot
The rules of cybersecurity change constantly. Perhaps one of the most common (and most annoying) problems many web users encounter is log-ins. Customers often find themselves unable to log in to their accounts.
Synchrony Bank serves as a great example of chatbots-assist. After three failed log-in attempts, Sydney the chatbot enters the scene. In only a few steps, she helps the customer recover their login username and reset the password. Thai eliminates the need to contact customer service. Once the recovery process is finished, the customer is able to log into the account effortlessly.
4. Dominos: Facebook Ordering Messenger
Domino’s Facebook Messenger chatbot is a great example of a food industry use case. The success of this menu-based chatbot lies in its simplicity and accessibility. The bot is available on the company’s Facebook page. And so it allows customers to order or connect to the company’s customer service anywhere. The bot presents visitors with few options. The bot also has the ability to recall the customer’s previous orders. That allows for simple reorders and makes the customer experience all the better.
5. H&M Chatbot: Fashion Help
The fashion and retail industry can also benefit from the use of AI-powered technology. The H&M bot is a good example of this practice working well. Based on visitors’ replies, the bot offers a variety of resources. Shoppers then receive details instructions for the next steps of their buyer’s journey.
6. Mya StepStone: Job Search AI Chatbot
BLOCKQUOTE: “Today, online job search still relies on job seekers typing in job titles and locations. As a result, many people do not find the right job. In the future, conversational AI will help us to have meaningful interactions with our users and to find out what really matters to them”, said StepStone CEO Dr. Sebastian Dettmers. “Our goal is to fundamentally change how job seekers discover their full range of opportunities.” (StepStone)
Another AI chatbot example application is Mya, recently acquired by StepStone. StepStone is a job recruiting agency. According to the company’s press release, “based on machine learning, conversational AI will enable job seekers to find matching job opportunities even without actively searching for them. The technology draws conclusions from talking to the candidate and then suggests suitable jobs via text message, WhatsApp, or onsite chat.”
7. Home Boutique: Real Estate AI Chatbot
With remote work on the rise, domestic migration out of urban cores spiked. Tech innovations help homebuyers shop from the comfort of their living rooms. Virtual property tours come in handy.
AI Chatbots can help real estate companies by facilitating virtual tours. Tasking a chatbot with this task frees up agents to attend to other matters. It allows customers to take their time with the tour and explore the property in detail before visiting it in person.
A good AI Chatbot offers a 360-degree view of the property. It allows different viewing options and can help schedule an in-person visit for the homebuyer as well.
8. Siri, Alexa, and Google Assistant: Conversational AI Chatbots
Alexa, Siri, and Google Assistant are all examples of conversational AI. More human-like in their conversation programming, these chatbots generate more natural responses. In other words, interactions with these chatbots are the closest to human-like conversations.
Machine learning technology gives these chatbots accuracy and natural language capabilities. When Siri or Alexa makes a mistake in a conversation with a human, it learns from it. Computer systems analyze data and patterns to guide the assistants’ decision-making. Machines learn on their own without human assistance. That allows them to develop greater capabilities.
9. LiveHelpNow: DIY AI Chatbot
Suitable for any industry, our chatbots serve as helpful customer service and marketing assistants. Whatever the need for the chatbot is, the Chatbot User Interface will help admins set it up just the way they want it. The AI Chatbot can support SMS or Desktop communications with customers.
Our customized chatbots answer order questions, set appointments, conduct surveys, calculate answers, collect confidential information, and more. Of course, there may be issues that you prefer your staff to handle. Our bots can delegate inquiries to specific departments or agents based on specific criteria.
Tips for Creating a Successful Chatbot
The process of creating a functional chatbot conversation logic that fits customers’ needs and flows naturally might take some practice. Creating a few different flows, testing them, and seeing what works best is a great way to start.
We also recommend checking out the following resources that can help with the task:
Conversation Design Workflow: How to design your chatbot in 10 (basic) steps
10 Tips for Creating Engaging Chatbot Design People Will Use
Best Practices for AI Chatbots
- Use high-quality tools to facilitate human-like natural language conversations
- Determine the intent of the chatbot communications
- Use clear logic with no room for vagueness or mistakes
- Present clear benefits to the customer for using the chatbot to increase customer engagement
- Implement features that support the personalization of customer experience.
- Collect customer feedback and use it to improve interactions
Conclusion
Chatbots can enhance customer experience. They can promote products in the eCommerce space. They can advance marketing efforts in many spheres. And they have many other applications. Is there room and need for a chatbot in your business? Think about the AI Chatbot examples above. Find a successful implementation strategy. Then, this smart technology can help your business thrive.
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