Table of Contents

Introduction

If you’re an e-commerce business owner, you know that your website plays a huge role in your sales. Your website should be a place where people can find all the information they need about your products, as well as a place where they can easily make purchases. But did you know that there are other ways to use your website to boost sales? You can use it to give your customers a personalized experience, which will help them feel like they’re part of the brand.

In this article, we’ll talk about how you can use conversational AI chatbots to turn your website into a conversational eCommerce machine that works for you and extends your brand.

Conversational AI is the next step in e-commerce. It’s a way for your customers to interact with your company, similar to how they talk with each other in person or on social media.

Conversational AI is usually video-first. Your customers want to see what they’re buying and how it works, and video is the perfect medium for this because there are no distractions and you can get right down to business.

With Conversational AI, you must use video if possible before moving on to more traditional forms of interaction such as messaging, emailing, or calling your customer service team. With this type of AI, it’s easy for them to find out about new products without having to have a long phone call with an agent just trying to figure things out on their own!

What is a Conversational AI Chatbot?

A conversational AI chatbot is an automated computer program that uses artificial intelligence to conduct a conversation with human users, for example, through video, text, or audio. It’s the next generation of customer service, sort of speak.

In addition to the usual business benefits of chatbots, that is, increasing customer engagement and reducing costs, conversational AI chatbots can also be used to solve problems.

A great example of this is a chatbot named “Annie” that was developed by IBM and launched in 2015 as an experiment.

Annie has been deployed in many different industries, but it is particularly useful for healthcare because it helps doctors diagnose patients. This application is still being improved upon, so you can expect to see much more of this type of technology in the future.

In conclusion,

A chatbot is an automated program that interacts with customers via text or voice most of the time (but also video). It can be used in a variety of ways, but most commonly as a customer service tool.

Chatbots are designed to provide a simple way to interact with brands and businesses. They can help customers find the information they need, answer questions about products or services, and even make purchases directly from the company website.

There are many different types of chatbots that can be used for different purposes and placed on different platforms. There are also many ways to use them effectively. Here’s how to create a conversational AI chatbot that works for your ecommerce business:

1) Know Your Target Audience – Before you start building your bot, you need to know who it will be speaking to! This is especially important if you’re creating one for multiple demographics or audiences with unique needs or interests – you don’t want to end up with something generic that doesn’t address anyone’s individual needs!

If possible, try having your target audience fill out surveys so that when you’re designing their experience with your bot they feel like they’ve been heard! You’ll learn things like what kinds of questions they have about products/services and how much time they’re willing to spend on your website.

2) Create a Unique Voice – There are many different ways that you can go about creating a unique voice for your chatbot, but the best one is usually to talk to people who use your product or service and ask them what they would like their bot to sound like!

The more specific you can be with this information, the better. For example, if you’re building a chatbot for customers looking for hotels in Madrid, talking with actual travellers will help ensure that it’s relevant and engaging!

3) Make Your Bot Experience Easy & Consistent – It’s important that when people interact with your brand through any channel (including text or voice), they experience the same thing every time. This means making sure all of the elements of each stage of communication are consistent from beginning to end.

Most importantly, consider that there aren’t too many steps involved in each interaction; otherwise, users may get frustrated and stop trying out new things! You’ll want to keep it simple and straightforward.

4) Use a Variety of Platforms – As mentioned earlier, chatbots are typically used for customer service purposes. This means that you’ll want your bot to be available on all the platforms that people use to contact you or interact with your brand!

There are different ways to do this, but one common method is through an app (such as a Facebook Messenger Chatbot). You also have the option of using a web-based chat interface like Zendesk which can be accessed from any device (PC/Mac/mobile).

5) Create an Engaging Experience – If you’re looking for more tips on making your chatbot experience engaging, check out our previous blog post about creating conversational experiences! The main takeaways here are making sure that users feel like they’re actually having a conversation with someone and not just chatting with a bot. You should also focus on giving them enough information so that they don’t need to continue to search the web and waste their time.

Why use a Conversational Chatbot?
It’s faster than talking with humans. One thing that should be mentioned here is that there are some people who have an extreme aversion to using automated systems or computers because they believe that it’s a step back in the evolution of human civilization. That being said, we all know that time is money, and using an automated system can save you a lot of time.

A conversational AI chatbot has been developed to take care of your most common problems, as well as save you some precious hours every day. I’m sure that many people find this appealing.
It helps solve complex issues faster than humans do. The fact is that there are thousands of unique questions to be answered by customers every day, and even though it might not seem like much nowadays, but if used correctly, this type of technology will allow businesses to handle these questions more efficiently, which means providing better customer service at lower costs.

Instead of relying on their employees who have limited knowledge about each particular product or service offered by their company, companies can now use automated systems for answering customer inquiries through text interface or voice response (Siri). These systems can also help with resolving complaints and queries without the hassle.

What is the Role of Machine Learning in Conversational AI?

To be clear, the use of chatbots isn’t new. We’ve been using them for decades in various forms, but this is the first time they’re being used at scale. And there are some who believe that we’ve only scratched the surface of what’s possible with AI and conversational interfaces.

The industry has come to widely agree that one of the most promising areas for machine learning is natural language processing (NLP). NLP technologies allow computers to understand human language as it’s spoken or written, as well as process complex sentences and respond accordingly. But where does this process begin? In some ways, it begins with the user.

The first step is to create a human-like conversation between a computer and its users. The next step is to leverage machine learning algorithms, specifically deep learning neural networks, to understand how humans interact with computers in language. This allows for more effective conversational interactions that are similar to those of the person speaking or typing their message.

How do conversational AI chatbots provide users with tailored recommendations?

Simply put, they don’t. They use a technique called “intent extraction”, which helps them understand what the user really wants from his or her interaction with the bot through a series of questions (e.g., “Where are you from?” or “What is your email address?”). This way, when someone asks for information about your product or service, you can find out exactly what their needs are and if there is any chance of turning them into paying customers.

A conversational AI chatbot is an automated software program designed to simulate human conversation. It uses natural language processing to understand human speech and respond accordingly.

The main goal of a conversational AI chatbot is to improve customer service by automating routine tasks, such as answering frequently asked questions or performing repetitive tasks like updating product prices or inventory.

The other goal of this technology is to personalize the experience for each user by learning from previous interactions with them and using that data to improve future interactions.

How can your website use this technology?

A conversational AI chatbot can be incorporated into your website in many ways: through live chat, email marketing campaigns and even search engine optimization (SEO).

While they all serve different purposes, the most common use case for a conversational AI chatbot is to answer customer questions or provide them with information about their order status.

Behavioural Intent in Conversational AI Chatbots

Recently, it has been suggested that behavioural intent can be used to understand consumers’ non-verbal signals. Behavioural intent is defined as the desire of an individual to take a specific action, such as buying products or services from a particular brand and interacting with them through a certain channel, like social media.

If you’ve been paying attention to the world of e-commerce, you’ve probably noticed that it’s changing. In fact, it’s changing so fast that some experts are saying we’re in the midst of a new era: conversational commerce.

The way people shop online is no longer about clicking around looking for products. Instead, customers are using chatbots to interact with retailers and brands, and even other customers, to find exactly what they want.

This new world of shopping requires a different approach from businesses than they’re used to. It’s time for them to start thinking about their websites as a way to interact with customers in real-time, rather than just another vehicle for posting product pages.

Natural communication with business-related inquiries encourages customers to purchase a good

People are talking about [your product] on the Internet.

What is [your product]?
How does it work?
Why do people buy it?

If your potential customers are asking these questions, then you need to make sure that your website answers them by:

Providing high-quality content about your products and services isn’t as hard as you may think. When people come to your site looking for answers, they’ll be able to find them easily if you have a good content strategy in place.

If you’re an entrepreneur, eCommerce business owner, or just a plain ol’ reader of this article, you’re probably already familiar with the term “conversational AI.”

Conversational AI is a type of artificial intelligence that allows users to interact with chatbots and other computer programs via text or speech, instead of clicking through menus and buttons. It’s all about making your website more engaging and user-friendly so that your customers can find what they want more quickly, check out faster, and leave happier than ever before.

But what if you’re not ready to make the jump into voice search yet? Or maybe you’ve already got it up and running on your site but still aren’t seeing the results you want? Well, that’s where conversational commerce comes in! Conversational commerce is basically just a fancy way of saying “conversational AI,” but when it’s used in relation to eCommerce sites, it means using AI to make your website more conversational, and thus more conversational commerce-focused.

Both customers and online store owners can benefit from conversational AI’s problem-solving abilities!

Conversational AI helps you deliver a seamless experience that keeps your customers coming back for more and allows you to be more productive in different areas of your life.

The first step is to understand how these technologies work, so let’s start with what they look like. Though this technology is still in its infancy, it’s poised to become the next big thing in e-commerce. What does it mean for you? The ability to create an interactive experience by offering your customers an opportunity to talk directly with a bot that can answer questions, make recommendations, and provide more personalized information about products or services.

Contextual Awareness in AI chatbots

In the same way you might follow a conversation in real life, AI chatbots should be able to learn their users’ habits and preferences over time. What products do they like? Do they prefer certain brands or not? This helps the chatbot personalize its responses and make it feel like a two-way conversation.

A good example is Amazon’s Echo smart device, which uses Alexa as its voice assistant. If you say “Alexa, order some diapers,” she’ll go ahead with your order because she already knows what brand of diapers you bought last time. She will also remember which store was associated with your credit card, so she can place an order on their website instead of Amazon’s, if that’s what works for you better.

Like any new technology, chatbots might seem overwhelming at first, but it’s actually quite simple to get started!

With all the hype and excitement surrounding chatbots, it’s easy to be overwhelmed by the technology and how it can help you grow your business. The truth is that chatbots are actually quite simple to implement. In fact, with some basic coding knowledge, you can get started within a matter of hours!

In simple words, you’ll have to:

Decide on your goals
Choose the right platform for you
Pick a chatbot solution provider
Create your chatbot
Train and test your chatbot
Set up automation rules

If you are curious, there are multiple ways to train and test your chatbot. One way is to use a training dataset that contains a set of input/output pairs. The chatbot is then trained on this dataset, and the performance is measured on a separate test dataset.

Another way is to use a human-annotated training dataset, where the input/output pairs are labelled by humans. The chatbot is then trained on this dataset, and the performance is again measured on a separate test dataset.

Finally, you can also use a combination of both training methods in order to get the best results.

The e-commerce world has become a “conversational” experience. This is thanks to the explosive growth of chatbots, which enable retailers to have a 24/7 instant presence for their customers

Chatbots have been around for years (think 1988, when Carnegie Mellon University’s first chatbot, “Julia” was created). Now they’re becoming increasingly important in customer service because they can handle requests quickly and accurately. A growing number of people are using chatbots to find information about products on websites, compare prices and availability at other stores, or even make purchases, all without leaving the site they are browsing on.

Chatbots can help your customers get what they need from you more quickly and easily than ever before

Imagine this: You’re looking to buy a new pair of jeans. You head to your favourite store, but you can’t find what you need. So, you look at their website and try to find them there. But alas, they don’t have the right pair in stock and have no plans to get them anytime soon.

This could be because the store is out of stock on that item or because they don’t think it’s worth investing in more inventory because they don’t sell enough of those items to justify purchasing more (this is pretty common with smaller stores). Now, if you have chatbots on your site, you can get at least the e-mails of those people interested in that type of product, speak to them, continue the conversation, and all of that without losing a potential sale.

Chatbots are interactive in nature so they’re perfect for mobile, which is now the most prevalent way people connect with e-commerce websites and stores

The rise of mobile has made it easier than ever to use an e-commerce site on a smartphone or tablet. In fact, mobile is the most prevalent way that people connect with e-commerce websites and stores. But there are still a lot of barriers between you and your customers when they’re using their phones or tablet, especially when it comes to shopping for what they need from your site:

The screen size is small, so even if you’ve optimized your site for mobile, it can be hard for users to scroll through multiple pages of products
Many consumers expect live chat support when shopping online, but this is not available on every website and store

There are numerous brands that have already embraced chatbots

For example, Sephora has created a Facebook Messenger-powered bot that takes users through creating a customized look based on what they want and what they need. The company claims the bot will help people discover new products, and improve the overall shopping experience by helping customers find exactly what they’re looking for quickly.

In addition to helping customers find products and make purchases, chatbots can also provide useful information about your brand’s products and services. For example, if you sell clothing, then you can create a chatbot that allows users to enter their body measurements into an app in order to receive personalized recommendations for things like dresses or jackets that would fit them well.

More and more brands realize the potential of chatbots, and many have already created bots that help people find products or services. Brands like Lyft and even Walmart have all created their own chatbot apps to compete with other online retailers such as Amazon or Google.

A lot of technology companies are also creating bots for use by businesses. For example, IBM’s Watson is a chatbot platform designed to provide a better customer service experience than human employees can offer. The company has built an entire line of mobile-based applications that allow companies to create custom-built interfaces for their customers through artificial intelligence.

One thing you should consider when developing your brand’s bot is whether it will be integrated into Facebook Messenger or Telegram, which both have millions of users who visit them daily. If your brand does not opt for one of these platforms, then you may want to create a separate app so you can reach new users in addition to those on Facebook Messenger.

Brands are continuing to find new and exciting ways to utilize conversational e-commerce

This week, Amazon announced the launch of a new and improved version of the AI-powered meal planning service called Meal Time, which allows users to ask Alexa for recipes that fit their dietary restrictions and preferences. And just last month, we reported on how brands like Sephora, Starbucks and Nordstrom have recently introduced chatbots on Facebook Messenger.

And while these conversations can take place across many channels (including text messages), they have one thing in common: they’re all powered by artificial intelligence technology.

“The idea is a customer has to do as little work as possible,” said [Andrew] Smith [founder of Conversable], whose company has built conversational interfaces for big names like Coca-Cola, CBS News and Vogue magazine since launching in 2015. “Chatbots don’t want you doing the hard work.”

Another good example is Living Spaces, a large furniture retailer in California and Texas that has created an Alexa skill that helps potential customers create a shopping list before going into one of its stores.

The app allows you to add items from your current home to a list so that you can check them off as you go through the store. You can even ask Alexa for help to find items in certain rooms or areas of the house.

This use of conversational commerce is just one example of how brands are leveraging voice technology in order to make their products more accessible to consumers trying to make purchases on the go (or on the couch).

The key to success is thinking outside the box and finding new ways to use conversational AI to provide a better customer experience

If you want your website’s messaging strategy to be effective, then it must be personalized, relevant, timely, and engaging so that users can easily navigate through it without getting bored or confused. The best way to achieve this is through AI chatbots, which allow companies and individuals alike to take advantage of all the benefits associated with artificial intelligence technology, such as machine learning capabilities that can process vast amounts of data at lightning speed – something only humans are usually able to do manually (if at all).

Conversational AI is a process whereby computers program themselves to have conversations with humans. The bots can then be used to interact with customers, and the data generated from these interactions can then be analyzed in order to enhance the customer’s experience.

Some examples of chatbots that are currently available include:
Google Assistant – an intelligent virtual assistant for Android devices that allowS users to perform tasks such as setting reminders (similar to Apple’s Siri), searching for information on Google, creating notes and sending messages (similar to messaging services like WhatsApp or WeChat). With Google Assistant, you can also ask it questions about the weather, sports scores, or traffic conditions, so you can receive answers without having to open your phone.

Amazon Alexa – an intelligent virtual assistant that operates through voice commands on Amazon Echo devices such as the Echo Dot and Echo Show. You can use Alexa for various tasks, such as checking the news headlines or asking her where you should go for dinner.

Microsoft Cortana – an intelligent virtual assistant for Windows 10 PCs that you probably already use (it comes pre-installed with Windows 10 itself).

Realize your brand’s potential to unlock new growth and better outcomes

A successful e-commerce strategy is built on a solid foundation of trust. If you can’t establish that trust with your customers, they will never do business with you. But what happens when you have built that trust? Where do they go from there? Your brand has helped them get to know and like your company, but now it’s time for the next step: getting them to buy something.

The key is in understanding how your e-commerce site can become an extension of your brand – a place where shoppers become part of the story and interact with the products in ways that make sense for their needs. Here are some tips on how to use conversational AI on your website (and elsewhere) so users feel comfortable engaging with it as if it were another human being – which in many ways it is!

Conversational AI can be used in a number of ways to improve the user experience on your website. Here are a few examples:

Use it to answer frequently asked questions. This can help reduce the number of customer service inquiries, freeing up staff to handle other tasks.
Use it to provide personalized recommendations. For example, if a customer is looking at a product on your website, you can use conversational AI to recommend similar products that they might be interested in.
Use it to create a chatbot. This can be used to provide customer support or simply to engage with users in a friendly way.
Use it to gather feedback. You can use conversational AI to ask users for their thoughts on your website or product, and then use that feedback to improve your offering.

By using conversational AI in these ways, you can make your website more user-friendly and efficient, and create a better overall experience for your users.

Why do conversational AI chatbots occasionally outperform human customer service representatives?

In the past, chatbots were a bit of a gimmick. But today, they’re an essential tool for e-commerce sites and brands. The best part is that most modern chatbots are built on artificial intelligence (AI) and machine learning, so they can learn from your interactions with them over time. That’s why you’ll often hear people say that these AI-powered digital assistants can “get smarter” as they get more use!

Now there’s one more thing you need to know about conversational AI: It works best when it has context about the customer’s needs before answering questions or performing tasks, and this means having access to specific data about each individual customer.

If your website doesn’t have all this information available for every single visitor who lands on it, then how will any chatbot ever know what kind of experience each visitor wants? Let alone, which one might be most likely convert into a paying customer?

With all these challenges facing us today, wouldn’t it make sense if there was some sort of solution out there already designed specifically to solve such problems head-on? We will talk more about this topic in a future material 🙂

What are conversational AI’s limitations?

Conversational AI is still in its infancy and will take time to develop. Chatbots will not be able to handle all customer requests, and they are not yet as effective as human agents who can think creatively and proactively. In addition, chatbots have a hard time understanding natural language, especially colloquial expressions.

How to design an interesting conversational AI chatbot persona?

You’re probably already familiar with the concept of “personas”, but did you know there are different kinds of personas? There are two main types:

Persona 1: The ideal customer. This type of persona is usually a composite sketch of your ideal customer base and often includes demographic information, such as age, gender, income level, and location. Personas can help you better understand your audience so that you can create content that speaks directly to them.
Persona 2: The user persona or chatbot persona. You might not have thought about this one before, but it’s important to understand how personas play into conversational AI design because they create an emotional connection between the brand and its customers.

Persona 2 is something we call a User Persona or Chatbot Persona. It’s basically a name that represents your target audience within the context of your messaging experience (remember those things called ads?).

When creating these avatars, it’s important that we think about who exactly we’re talking about when developing our messaging strategy for our online store conversions, which means understanding their likes/dislikes, needs, fears, dreams, hopes and wishes, aspirations, life goals, etc…

Conversational assistant enables teams to improve customer care, reduce costs, drive more sales and grow customer relationships

There is no doubt that e-commerce is a huge part of our lives today. We all love buying things online as it saves us time and money, but there are some things which can be improved in the entire process of shopping online.

One of the most important tasks that has to be performed by customer care service is improving their customer experience.
The use of mobile technology has become very popular among all types of companies as it helps them to keep customers updated about their products and services at all times. As a result, this has led to an increase in the number of customers who shop online on their mobiles.

According to a recent study conducted by eMarketer, there will be over 5 billion users accessing e-commerce from mobile devices globally in the year 2023.

It can be seen that there are a huge number of benefits which could be gained through using such type of technology when it comes to making people more aware of what they need or want and helping them solve problems quickly without any hassle.

In order for this process to work properly, customer care executives should make sure that they are able to provide information within a short period while also keeping up with changing trends and expectations set by customers. The following articles will explain in more detail some of the things we’ve discussed here:

https://www.statista.com/topics/871/online-shopping
https://thrivemyway.com/ecommerce-stats/
https://buildfire.com/mobile-ecommerce-statistics-data/
https://financesonline.com/number-of-smartphone-users-worldwide/
https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/

Sell more, improve customer care and reduce costs with Virtual Shopping Assistant platforms

There are a lot of tools that can help you reduce costs and improve customer care. With the right shopping assistant platform, you can be more efficient and streamline your e-commerce conversations. This way, your customers get the best experience possible without having to wait for an answer from someone who’s not even aware of their needs.

You don’t have to do everything by yourself; there are other options for managing your online store that will make it easier for you to run it efficiently and profitably!

There are many different Virtual Shopping Assistant platforms available, each with its own unique features and benefits. Here are some of the ones available:

Amazon Alexa: Amazon’s virtual shopping assistant, Alexa, is one of the most popular and well-rounded platforms available. Alexa can help you with a variety of tasks, including adding items to your shopping list, checking the weather, and even ordering products from Amazon.com.
Google Assistant: Google’s virtual shopping assistant, Google Assistant, is another great option. This bad boy can help you with a variety of tasks, including adding items to your shopping list, checking the weather, and even ordering products from Google Shopping.
Apple Siri: Apple’s virtual shopping assistant, Siri, is another great option. Siri can help you with a variety of tasks, including adding items to your shopping list, checking the weather, and even ordering products from the Apple Store.
Microsoft Cortana: Microsoft’s virtual shopping assistant, Cortana, is another great option. Cortana can help you with a variety of tasks, including the ones we’ve already discussed, and even ordering products from the Microsoft Store.
Walmart Grocery: Walmart’s virtual shopping assistant, Grocery, is another great option. Grocery can help you with a variety of tasks, including the tasks we’ve discussed earlier, and even ordering products from Walmart.com.

Conclusion

As the use of conversational AI chatbots continues to grow, more and more companies will realize how powerful they can be. Conversational AI has many benefits that go beyond just giving customers the ability to order products online. It gives businesses an opportunity to connect with their customers in a new way while also helping them sell more products!