Things To Ask AI Chatbot

Artificial intelligence chatbots are chatbots trained to have human-like conversations using a process known as natural language processing (NLP).

In today’s world of technology, AI chatbots are the very brilliant inventions of artificial intelligence that have the ability to do anything you ask them through written language. They greatly enhance your digital experience by performing tasks within seconds. They are frequently used in multiple online situations like answering customers’ inquiries without the need for human agents.

In other words, AI chatbot software can understand language outside of pre-programmed commands and provide a response based on existing data. This allows site visitors to lead the conversation, voicing their intent in their own words.

Questions That Would Teach You The Art Of Conversation With Chatbots

AI chatbots are very much beneficial for digital marketers. Here are the most common questions customers are asking our chatbots.

What are your products made of?

For the purpose of knowing product details, a chatbot is a perfect venue to have those questions asked and answered. Chatbots are way good at telling customers about products’ ingredients and materials and which product is best for their specific needs.

Where’s my order?

Instead of scrolling through their email, finding the order confirmation, going to an external website, and typing in a tracking number, more and more customers are headed straight for a brand’s live chat window to ask where their order is. For them, it’s just more intuitive and simpler, especially on mobile with smaller screen sizes. And now with seamless integrations with postal services and courier companies, users can get live updates on the location of their order directly on Messenger.

I need to make a return. What’s your refund policy?

Return, refund, and exchange are the common factors for the merchant ls whether they are digital or traditional. Chatbots can easily respond to customers with their answers according to their expectations within seconds. It’s an easy concern to automate and can save customer service agents hours upon hours of customer frustration.

Where’s your store?

It’s not uncommon for users to do their research online and ultimately pull the trigger with an in-store purchase. Users can choose to share their exact location or city with a single click and be given custom directions and other information about their closest stores.

What’s the best deal you can give me?

Chatbots are capable of answering almost any question asked by customers. So they can also give you the best deal which suits your business.

Chatbots can also be used for asking random question ls apart from your business. Chatbots are great at recognizing keywords. Formulaic questions are no problem. Questions with multiple parts, or a series of questions, not so much. This set of questions attempts to loosen up the conversation.

• What is the right number of email lists to automatically subscribe me to? How did you decide?
• Do you prefer telling me stuff or letting me buy stuff?
• Before answering a question, what algorithm do you run through? Why?
• Take two minutes and 20 seconds and tell me as much detail as possible about what you do best.
• If you could wake up tomorrow having gained any one feature, what would it be?

Where Are AI Bots Used?

• AI bots help streamline healthcare services
• Financial services use chatbots for enhanced customer support.
• AI bots automate eCommerce

Benefits Of AI Chatbot

This impressive advent of artificial intelligence comes with several additional benefits. These include:

1. Availability

AI chatbots have made business availability 24/7 much easier by employing in place of human agents. The AI chatbot is basically based on integrated systems and databases so whenever a consumer has an inquiry, an AI chatbot is ready to give an instant response. This means it can actually help the customers you can ask any question to them they’re capable of answering with human traits. A scripted chatbot can only follow the script

2. Adaptable

AI chatbots have multiple uses in a variety of fields. They have the ability to adapt the features depending on the customer’s need Whether it’s for customer service or HR support, lead generation, or sales assistance.

3. Affordability

One of the main drivers behind the use of AI chatbots is their affordability. The total cost of ownership is low compared with employing additional human members of staff.

4. Customer Experiences

AI chatbots also enhance the customer experience by collecting additional information and data. A good setup AI-powered bot enables customers to full fill their desired needs within conversations. By fostering more interactions, they can streamline the customer journey, deliver real-time personalization, and enable companies to collect actionable data that can be used to improve products and services.

Things to Avoid Asking AI Chatbots

Although chatbots become widely popular and have impressive features to communicate with customers you cannot trust them for all your purposes. It is important to be aware of their limitations. So here are things you should avoid asking the chatbot.

Medical Diagnosis

Although chatbots have come very far due to their advancement in technology medical diagnosis is a thing they cannot be surely accurate about. Sure, they might not be wrong all the time, but trusting a chatbot to diagnose your illness instead of a doctor is silliness.

Product Review

It is better not to ask your chatbot about any product review. It can easily list down the price and specs of a product you might be interested in, but it can never give a product review. You cannot review a product without experiencing it and an AI chatbot doesn’t have the ability to see, smell, touch, taste, or hear, so the claims it would make about a product—any product, not just tech—in its “review” would be disingenuous.

Legal Advice

Some companies have already developed AI legal assistants with specialized characteristics even marketing them as an affordable alternative to human lawyers. It is obvious that chatbot lacks common sense they would be only able to use the data you provide and process them.

Things that are instinctively obvious to us humans need to be programmed into chatbots, which makes them less capable of logical reasoning. It is also risky to use because hackers can easily steal the sensitive data of many people at once.

News

Using AI chatbots as a news source poses three major problems: accountability, context, and power. It is not suitable to believe the news chatbot summarizes what is already available on the web. There is no individual person writing the story hence it is not as reliable.

Commercial Content

It is correct that chatbots are capable of producing content instantly What would take a human a couple of hours to write? You can’t ignore that they are simply not good enough and can’t replace human writers. Not yet, at least.

ChatGPT, for example, often delivers inaccurate, outdated, and repetitive content. In other words, it’s not adding any new value to the internet. Using chatbots for personal use is perfectly fine. But using them to write your articles, news stories, social media captions, web copies, and more is probably a very bad idea.

How to build an AI chatbot?

You can develop your own conversational AI chatbot with the help of machine learning and artificial intelligence. Just keep in your mind all the features you are trying to implement on your chatbot with a clearly defined strategy, and then start fuelling your chatbot with the data it needs.

1. Code-free

You don’t require coding experience for creating a chatbot. Many chatbot creation services offer low- or no-code options

2. Easy to integrate

Chatbots can get combined in multiple customer communication channels including WhatsApp, Facebook Messenger, Viber, Telegram, SMS, Google RCS, and Web Chat apps.

3. Test and tweak

You can also identify the issues after creating them with your friends and colleagues. These can then be resolved before a broader rollout. Data will help you improve continuously.

Different Types Of Chatbots

• Menu/button-based chatbots
• Linguistic Based (Rule-Based Chatbots)
• Keyword recognition-based chatbots
• Machine Learning chatbots
• The hybrid model
• Voice bots

Menu/Button-Based Chatbots

Menu-based Chatbots are the most basic and common type of Chatbots which are imposed in the market currently. In most cases, these chatbots are glorified decision tree hierarchies presented to the user in the form of buttons. For these Chatbots, you have to dig deeper toward the detailed answer.

While these chatbots are sufficient for answering FAQs that make up 80% of support queries; they fall short in more advanced scenarios in which there are too many variables or too much knowledge at play to predict how users should get to specific answers with confidence. It’s also worth noting that menu/button-based chatbots are the slowest in terms of getting the user to their desired value.

Linguistic-Based (Rule-Based Chatbots)

These types of chatbots are capable of answering your customer’s questions you predicted. Linguistic or rules-based chatbots use if/then logic to create conversational automation. First, your job is to define the language condition of your chatbots. Conditions can be created to evaluate the words, the order of the words, synonyms, and more. If the incoming query matches the conditions defined by your chatbot, your customers can receive the appropriate help in no time.

It is necessarily important for you to define the permutation and combination of each question, otherwise, your chatbot will not be able to understand your customer’s input. This is why a linguistic model, while incredibly common, can be slow to develop. These chatbots demand rigidity and specificity.

Keyword Recognition-Based Chatbots

Unlike menu-based Chatbots, keyword recognition-based Chatbots have the brilliant feature of listening to what users type and responding accordingly with appropriate answers with the help of utilizing customizable keywords and an AI application – Natural Language Processing (NLP).

These types of chatbots fall short when they have to answer a lot of similar questions. The NLP chatbots will start to slip when there are keyword redundancies between several related questions.

It is quite popular to see chatbot examples that are a hybrid of keyword recognition-based and menu/button-based. These chatbots provide users with the choice to try to ask their questions directly or use the chatbot’s menu buttons if the keyword recognition functionality is yielding poor results or the user requires some guidance to find their answer

Machine Learning Chatbots

A contextual chatbot has the most advanced features of the three previously discussed bots. These types of Chatbots make use of machine learning and artificial intelligence to remember conversations with specific users to learn and grow over time. Unlike keyword recognition-based bots, chatbots that have contextual awareness are smart enough to self-improve based on what users are asking for and how they are asking it.

For instance, you order food using a contextual chatbot. The chatbot will collect your data to store it and learn what the user likes to order. So it is beneficial for the users that the chatbot will remember their most common order, their delivery address, and their payment information and merely ask if they’d like to repeat this order.

It is easy to see just how powerful conversation context can be when harnessed with AI and ML. The ultimate goal of any chatbot should be to provide an improved user experience over the alternative of the status quo. Leveraging conversation context is one of the best ways to shorten processes like these via a chatbot.

The Hybrid Model

Businesses love the sophistication of AI chatbots but don’t always have the talents or the large volumes of data to support them. So, they opt for the hybrid model. The hybrid chatbot model offers the best of both worlds- the simplicity of the rules-based chatbots, with the complexity of the AI bots.

Voice Bots

Businesses are preferring to use voice bots To make conversational interfaces even more vernacular. They are becoming more popular because of their ability to speak rather than type. Hence it is more convenient for the users and makes their experience frictionless.

Frequently Asked Questions (FAQs)

1. Do all chatbots use AI?

Not all chatbots utilize AI. Some are rules-based, delivering tightly structured dialog based on user input. They are only able to recognize questions and comments when they match the keywords selected by the chatbot’s programmer. An artificial intelligence bot, on the other hand, employs machine learning and natural language processing to respond to human input even when it deviates from a pre-programmed script.

2. What was the first chatbot?

The word “chatbot” first appeared in 1992; however, the first chatbot is thought to be a software program called ELIZA, developed by MIT professor Joseph Weizenbaum in the 1960s. ELIZA was able to recognize certain key phrases and respond with open-ended questions or comments.

3. What problem does the chatbot solve

The chatbot simulates, automates, and processes human conversation, allowing humans to interact with bots similarly to speaking with a human agent. Chatbots can solve any issues a customer or prospect may have

4. What will be the effects of using AI chatbots on business?

Real-time and immediate response

• A boost in revenue
• Cost-effective
• Maximize staff productivity
• 24/7 availability
• Increased engagement with customers
• Delivering a frictionless user experience

What are the cons of chatbots?

• May not understand user queries
• Lacks emotion and is not personalized
• May be expensive/complicated to install and maintain

5. Is the AI chatbot pre-trained?

The best AI chatbots are built on an existing data set. But, you’ll want to make sure you select a solution that comes with some understanding of terms and knowledge specific to your industry. A general chatbot AI might not be ready “out of the box,” so you’ll want to account for the amount of time required to get your bot trained for the job.