Author: Danni White

5 Ways to Use AI to Enhance Customer Experiences
Customer Experience

5 Ways to Use AI to Enhance Customer Experiences

Posted on | by Danni White

Your success is no longer solely determined by product or price – a satisfying customer experience is a must. When it comes to customer experience (CX), artificial intelligence (AI) is your most effective weapon.

AI is being used by more and more companies to improve customer service and meet the needs of modern consumers.

What does AI in Customer Experience Mean?

AI customer experience is a wide view of how artificial intelligence can enhance customer experiences. AI CX automates all the small interactions that make up the user experience. It does so with technologies such as machine learning (ML), deep learning, and natural language understanding (NLU).

How AI CX Works

Using an AI-powered chatbot is one way AI enhances customer experience. You can use AI chatbots on messaging platforms such as WeChat and Facebook Messenger, via email, and on voice assistants such as Alexa and Google Assistant. 

The main advantages of AI customer support chatbots are reducing wait times, automating mundane tasks so agents have more time to address complex issues, and helping customer service reps work more efficiently. Customer loyalty increases and customer service costs are reduced. 

How AI Improves Customer Experience

With artificial intelligence, you can increase customer engagement, encourage brand loyalty, and enhance retention. Though it cannot replace human beings, it can increase efficiency and take low-hanging fruit off your customer service team’s plate-like answering frequently asked questions.

Besides integrating AI with machine learning, deep learning, and natural language understanding, AI can also be used to automate customer interactions by removing communication barriers.

Among the more familiar examples of AI are chatbots that can converse with customers and recommend products based on customer behavior data. AI has virtually limitless potential.

5 Ways to Use AI to Enhance Customer Experiences

1. Reduce employee burnout

The technology of AI never sleeps, never takes a break, and never gets sick. It can easily learn new skills and achieve high levels of productivity and performance.

This isn’t an argument for replacing employees, but rather illustrating how artificial intelligence can ensure your employees won’t feel overworked and burnt out. Put your team’s efforts into tasks that call for human touch and people skills. Let technology handle the rest.

2. Friendly and efficient service

The customer wants fast, efficient, and friendly service, and this cannot be ignored by businesses. Artificial intelligence chatbots meet this need efficiently and continuously. 

Also, chatbots tend to have fewer errors, making it easier for customers to get the information they need as they need it. Information can be provided based on customers’ needs and can be analyzed better over time. As customer support must be responsive, consistent, and focused, it can be a game-changer. 

3. Increases lead generation

Making the buying process pain-free is crucial when customers are ready to purchase – and AI-powered chatbots can help. This can be accomplished by using pre-programmed questions to validate leads before they are passed on to sales agents. 

As part of the sale, chatbots can also suggest products based on browsing history, and can even upsell after the sale.

4. Automating life assistance

We usually use Alexa to play music or dim the lights. However, more and more companies are using Alexa, Google Home, and another robot AI to make life easier for customers.

Customers can schedule transfers and bill payments by using Alexa and Google Home, for example. They can also order products using voice commands. 

5. Provides better product recommendations

To provide the best product recommendations, AI-led recommendations combine data with information. It is possible to increase sales by collecting information such as website search queries, purchase behavior, and more. Through these recommendations, the best product attributes can be identified.

Final Thoughts

Every step of the buyer’s journey can be improved through artificial intelligence. It offers endless ways to improve your company’s CX by helping you understand who your customers are, what they like and dislike, and how they shop.

AI seems to be here to stay, with brands investing so heavily in it. No matter who provides a bad customer experience, consumers won’t tolerate it. Offloading tasks to bots is only worthwhile if it improves customer experience. 

Using Intent Data to Drive Personalization in Marketing
Article in on Intent data

Using Intent Data to Drive Personalization in Marketing

Posted on | by Danni White | Leave a Comment on Using Intent Data to Drive Personalization in Marketing

Intent data is becoming a major factor in driving personalization in marketing because it can help identify users’ needs, interests, and pain points. This data is also being used to predict future behavior so marketers can give customers what they want before they even know they want it.

By the end of this article, you will know the concept of intent data, which is becoming more important for personalization in marketing, and how it is beneficial for businesses.

What Is Intent Data?

Intent data is the collected data by observing users’ behaviors, activities, and interactions. It is used to predict what customers are likely to do next. Intent data helps marketers deliver personalized messages that have a significant impact on conversion rates.

Intent data is collected by tracking users’ activities, behavior, and interactions. They are collected in two ways: passively through the use of cookies or active log-ins.

The collected information can be used to predict what customers are likely to do next. This information can have a significant impact on conversion rates for marketers who want to deliver personalized messages with intent data.

How Can Intent Data Be Collected?

If you are a brand or a business and are looking to collect intent data, then here are a few ways this can happen:

  • Responding to surveys
  • Using different products
  • Scanning social media posts or comments
  • Tracking web browsing, eCommerce, and mobile app engagement

Some of these ways can easily be used to collect intent data, to make your marketing a major hit. Let the world know about your brand by following these newly introduced ways, these are effective and get the results you are hoping for.

How Intent Data Can Be Used by Marketers?

  1. Intent Data Helps in Building Customers’ Needs

    Intent data is the information about the consumer’s intent to buy something. With intent data, it becomes very easy for marketers to find out what people are looking for before they buy it. Using intent data to drive personalization in marketing helps marketers build relationships with customers and increase brand awareness.

    Intent data can help marketers make better decisions about targeting consumers and create more personalized content for their needs. This as a result helps you work in the right direction which is ultimately going to bring you success.

  2. Intent Data Can Help Plot the Journey of Customers

    Intent data helps marketers to understand their customers better. It helps them to understand customers’ stages in the purchase process, find out what content is being used before conversion, and identify new opportunities for customer acquisition.

    Marketers can use intent data to drive personalization on their website and app pages. They can also use it to build a more personalized experience for each visitor on their website or app by showing the most relevant content, offers, and products.

    Did you know that today, leading businesses are already using intent data as a way of driving personalization in marketing with great success? For example, if a customer is searching for “how to ship packages”, the company can now know that the person is interested in this topic and start showing them content related to it. This personalization to a whole another level!

  3. Intent Data Personalized Digital Experience of Users

    Intent data is a way to better understand a customer’s intent. It is based on the user’s browsing behavior, and it can help businesses with hyper-personalizing digital experiences.

    Marketers can use it to understand their customer’s intent and build campaigns that are tailored to the customers’ needs, wants, and desires.

    It helps marketers by providing insights into customers’ shopping journeys before they make a purchase. They can also use this information for competitor analysis.

    The two main sources of intent data are the browsing history and purchase history of customers. Marketers can use this information to create targeted ads with personalized offers that would most likely appeal to the customer’s interest.

    At the same time, retailers can use these data points for product recommendations through email or social media marketing campaigns. You can now make the most of everything and successfully make your brand the best one out there using intent data. It’s sleek and systematic leaving no room for mistake and can assist you in marketing the right way!

  4. Intent Data Uncovers the Customers Buying Patterns

    Did you know that you can now use Intent data for so much more? Firstly, Intent data is the data of people’s intent, not what they have done. It is what the customer wants to do in the future, not what they have done in the past.

    Subsequently, it can help uncover patterns for long-term value by telling us how a customer behaves, when and where they want to be marketed to and when it’s time to move on from a customer. So, it gives you the start, pause, and stop on each customer!

    Intent data has been proven to be a more reliable indicator of future behavior than past behavior. This is because behaviors based on prior experience are often influenced by contextual events such as price fluctuations or seasonal changes in demand. A person’s intent is often directly tied with their emotions and there are no outside influences that would affect that connection. You can easily cash in on this opportunity and lead them right to your brand or business.

In Conclusion

The first and most important thing to understand is the significance of intent data. When we know what a person wants, we can target them with content that meets their needs or offers them a solution to their problem. Which leaves us to our final motive that is to provide the user with a personalized experience that will lead them to buy your product or service. Why worry when you have so many ways to make your brand stand out? The future sure sounds promising, especially with intent data.

6 Ways AI Will Drive Innovation for Business in 2022
Artificial Intelligence

6 Ways AI Will Drive Innovation for Business in 2022

Posted on | by Danni White

Since the time Artificial Intelligence came into being until today, it’s done nothing but shown promising results. It has been making businesses better for a long time. The AI writing tools are countless, and it is difficult to list them all. However, this article will try to mention some important ways in which AI can help your business innovate and grow.

How does AI make businesses better? Well, a lot of tasks that humans used to do are now automated with the use of AI tools. For instance, chatbots can be helpful for answering customer queries instantly without any human intervention. Voice assistants like Siri or Alexa can act as virtual assistants that help customers with ordering products or booking flights – all by voice commands! Do you want to know how AI will make businesses fun and innovative? Keep reading to find out!

6 Ways You Can Use Artificial Intelligence for Your Business in 2022

AI has the potential to change the way we operate and manage our businesses and it is key to making our organizations more efficient and successful. Here are six ways AI will drive innovation for your business.

1. Data Analysis

Businesses can use AI to get a lot of insights from the data they have collected. This includes data from their customers, business processes and financial data. This data is analyzed to find patterns and trends that can help them be more innovative in their business practices. Here are some ways in which AI can help in this task:

  • Artificial intelligence can help you know your customer better by collecting and analyzing information about them, such as what attracted them to your company, how old they are, what they like or dislike etc. This helps you build a strong customer relationship with them by knowing what kind of offers would interest them the most.
  • Artificial intelligence can also work and analyze your internal processes to identify where there might be room for improvement. 

2. Customer Insights

Companies can use artificial intelligence to gather insights from their customers by analyzing customer data and conversations at scale. This enables businesses to be more responsive and personalized when they engage with their customers. How can this be beneficial for your customers? Here’s how!

  • AI can provide a deep understanding of your customers.
  • AI will help you create customer-centric products and services.
  •  AI will augment human decision making capacity.
  •  AI can help automate repetitive tasks in the business process.
  • Machine learning algorithms will provide a glimpse into the future of your industry.
  • Artificial intelligence has a positive impact on organizational culture.

All of these factors will make your business in the years to come stand out and by making customers a priority you’re standing out in the best possible way!

3. Collaborative Design

AI can be used to make decisions on how to improve the efficiency of the design process. It can also be used as a collaboration tool between different departments and improves the efficiency of transforming ideas into products.

AI will drive innovation for your business by enabling your designers and engineers to collaborate better and create more innovative designs and prototypes, which in turn will help you bring better products and services to market faster than ever before. Artificial Intelligence will help make the comeback your brand deserves!

4. Predictive Maintenance

Predictive maintenance is one of the intuitive ways to use AI in order to drive innovation for businesses. It helps in automating the process of checking and predicting when a component in an equipment or machinery might fail. This allows businesses to prevent potential problems and save time and money in the long run.

It also helps in developing products, services, and processes for better efficiency by using computer algorithms that can solve complex problems at scale than humans could do alone. So, all in all, Artificial Intelligence can be a massive help to improve your business and make it the best one out there!

5. The Usage of Robotics and Automation

You do not need to worry about taking multiple calls when a robot can do that for you. How? Let’s find out!

Robotic process automation is a type of artificial intelligence. It is a software that automates the processing of tasks that follow a predictable pattern. AI in business innovation can be used to automate processes and free up time for managers to think about different ways to improve the company.

This way, managers can spend their time on thinking of new products or better ways of doing things. So that means less scut work and more productivity which will lead towards innovative and thoughtful products in the market. AI makes it all easy!

6. Marketing Using AI

Who said marketing cannot be done using AI? When we say AI has got your back, we really mean it! Marketing in AI is the new way of driving business innovation. With the help of AI, marketing professionals can get an idea about their audience and what they like. Marketing in AI helps marketing professionals to make smarter decisions about their marketing campaigns by analyzing big data and customer information. From sending newsletters, to coming up with personalized titles and the right email marketing, AI does it all!

Final Thoughts

With the rise of AI, we no longer need to wait for a brand new idea or innovation. We can use AI to generate and improve on existing ideas and bring them to life.

It will help us with all sorts of problems we face in business, from data analysis and visualizing insights, to solving real-world problems with the solutions we create. AI will also give us more time to focus on our core competencies and drive innovation for our company. We can all agree that AI is here to stay and it’s only getting better with every update. Innovators should focus on some of the ways from above and use this technology in their businesses to drive innovation and growth. The future is AI.

Can AI Be Used to Predict Sales?
Article is about AI in sales

Can AI Be Used to Predict Sales?

Posted on | by Danni White | Leave a Comment on Can AI Be Used to Predict Sales?

Sale is a make-or-break component of any business. If you can’t sell, you don’t have a business. The problem with sales is that it requires an individual to be both analytical and creative at the same time.

You need to be able to think about what the market needs and what they will buy, while also having an idea for how to promote your product or service. It’s not easy to do well and it’s even harder when you add in the additional pressure of goals that need to be met in order for your company to grow.

Sales teams are often overworked and understaffed which can lead people to rely on artificial intelligence in order to help them predict sales more accurately and efficiently than they would by themselves. Artificial intelligence is becoming more and more prevalent in the business world. One of its most important applications is now being used to predict sales. How? Let’s find out!

5 Ways AI Can Be Used to Predict Sales

Businesses want to know the answer to some questions before they invest in a new product, but they don’t have the necessary resources. How can AI help predict sales for a business?

This article will discuss how AI can be used to predict sales for a business and how it uses market intelligence as a tool. AI is still in its early stages of evolution, but its ability to process large amounts of data quickly and accurately will continue to grow exponentially. This technology can be used as an invaluable asset for any company that needs help predicting sales based on market intelligence.

There are five ways that AI can be used to predict sales, keep reading!

  1. Forecasting Sales for Products & Services You Offer

    There are many ways in which AI can be used to predict sales. One of the most traditional ways is when you use AI to forecast sales for a product or service that you offer.

    This type of forecasting is done by analyzing the sales that occurred at the same time last year and then making predictions about what will happen this year. The predictions are based on how much inventory is available and how likely customers will buy specific products at certain times.

    AI can also be used to predict sales by looking at various external factors such as weather, economic trends and even sentiment analysis (reviews and opinions online). These predictions, while not always accurate, can still provide very useful insights for businesses. Giving you the knowledge for your business and helping you in seamless and smooth running!

  2. Predictive Analytics

    Sales prediction is a complex and intricate process which requires a lot of patience and research. It can be quite time-consuming for businesses to do the research and analysis that is needed to predict sales.

    Predictive analytics, as it’s called, is the process of collecting data from past events in order to predict future events. AI can now help with predictive analytics by giving businesses insights about what they need to do in order to increase their sales over time. The tool can be applied to new data sets over time and provide predictions which are more accurate with each iteration.

    With this predictive analysis, it would be easier for businesses to plan their operations more efficiently and accurately based on what they know about their previous success rates. Ultimately it will lead to better decisions that allow companies to maximize customer satisfaction.

  3. Customer Information Management

    AI can provide a wealth of information to sales teams by looking at customer buying history. It can help them determine the best time to contact customers and the best offer that will be suited for them.

    In order for AI to predict sales, it needs a lot of information. In order to collect this data, the business should analyze customer buying history and their interactions with the company’s products. This way AI can learn about customer preferences and make predictions based on those findings.

    Many traditional business leaders are hesitant to adapt to new technologies. They fear the effects of AI on employees, customer relations, and profitability. However, studies show that these fears are unfounded. A company that has adapted AI technology is Tesla. The electric car manufacturer uses AI to predict customer demand for its product months in advance to help manage inventory.

    Which helps us reach our conclusion that the present day market is ripe for AI integration to help businesses achieve success in their industry. Join the bandwagon and reap the benefits!

  4. Market Intelligence

    AI is increasingly being used to predict sales. Market Intelligence is one of the many AI tools that can be used to predict sales for a business. Market Intelligence is an AI-based technology that relies on data from previous years to help identify patterns in consumer behavior and then extrapolate these patterns into the future.

     It then predicts how these trends will affect the company’s sales, including changes in weather conditions, regional demographics, and competitive pricing.

    Hence, Market intelligence provides a comprehensive overview of the company’s performance across different locations and products. It also helps to identify areas where they need to improve their marketing strategies by highlighting opportunities for market share growth or identifying potential threats from competitors. Don’t you want that?

  5. Supply Chain Management

    Product recommendation is one of the most popular use cases for AI in supply chain management. With machine learning, retailers can accurately predict what products their customers are likely to buy next based on their past orders.

    Another way AI can help predict sales is by analyzing customer behavior and finding patterns that correlate with increased sales volume. This will lead to a better understanding of the factors that influence customer decision making and then develop strategies to improve conversion rates and increase revenue. These are some tried and tested methods.

In Conclusion

With AI assistance, sales can be predicted with a higher degree of accuracy. To understand the degree to which AI can help in predicting sales, we need to first understand what aspect of marketing or sales is being inferred.

 For example, it could be predicting the number of customers that will come into a store on a given day or helping estimate the size of market for a new product.

But we now know that by keeping AI in mind we can make more accurate predictions and make better decisions in response to market trends and customer demand.

Implementing AI in the Sales Process
AI in the Sales Process

Implementing AI in the Sales Process

Posted on | by Danni White

In the coming years, brands who are ready to make the switch and rely on artificial intelligence will observe how quickly they are able to thrive in new markets. It is really that simple. Discover how AI has simplified our work lives and expanded our business models, making processes 10x more effective than traditional methods.

What Is Artificial Intelligence in Sales?

The use of AI in the sales process is becoming more common. AI is being implemented as a sales assistant to help improve the customer experience. Some companies have started using it as a way to close deals, for example, by deducing from past interactions with a company what would be the best product or service for each customer.

One new study found that AI is already taking over the sales process. Multiple brands and their sales teams are using machine learning algorithms to better understand their prospects and research what they’re looking for. This type of technology is not yet widespread, but it is predicted that in the near future, most sales teams will be using some sort of AI to help them with the process. Sounds like a massive change of events!

But the real question is: What benefit will AI bring if it is implemented in sales and how can it be used?

Why Is AI Needed in the Sales Process?

Undoubtedly in the past, it has been difficult to implement AI in the sales process because of a lack of a well-defined process. However, now with AI tools, there is an abundance of data to be analyzed and used.

The sales process is an important part of the company’s revenue. It influences how customers will feel about your business and their level of trust in your brand. Effective salespeople are an asset to any company, but they can be hard to find, especially with the skills needed for today’s market. Implementing AI in this process has led to increased efficiency and reduced costs for businesses, as well as a better customer experience and higher conversion rates.

An effective salesperson will understand how the customer thinks and what motivates them; they will be able to create a relationship with them and provide guidance along the way based on their specific needs. With AI, we can now take some of that burden off of the human resources team by automating some aspects that would otherwise require human intervention or knowledge, letting the expert assist you in making your rise.

What Can Artificial Intelligence Do for Sales?

Here are a number of things salespeople and sales teams might from useful from implementing AI processes.

AI Can Assist Customers 24/7

AI in the sales process allows marketers to create a personalized approach for customers. It also helps with customer service. The two key applications of AI in the sales process are

  • Customer service
  • Customer engagement

AI can answer simple questions from customers about products or services that they want to purchase or can help customers find what they are looking for when browsing a website. For example, if a consumer is looking at a product page and has a question about shipping rates, a chatbot can answer this question without having to call customer service. Chatbots have been shown to provide faster answers than humans for questions about products and services on websites because there is no need to wait for an agent to come online. These make the lives of the people as well as brand easier, no longer waiting for hours to get a reply!

AI Helps to Develop Business Strategies

AI can be implemented in the sales process to make it more efficient, for example, by analyzing data and suggesting the right sales approach. Artificial Intelligence systems are able to analyze huge amounts of data and can be used to better predict what customers want or need, hence suggesting the right sales approach.

This has made the lives of the brands easier as establishments are now easily able to determine what they should offer to their customers, instead of guessing. That means resources are put in the right place to sell the product that’s being demanded the most!

AI Helps to Decrease the Risk of Leads

Today, Artificial Intelligence can be implemented by using it as a lead-scoring tool. It helps identify the most qualified prospects and allows salespeople to redirect time spent on less-qualified leads. In order to implement AI into the sales process, companies may need to invest in a system that will allow them to integrate an AI platform. How can the AI system help? AI assists in the risk of leads by prioritizing contacts based on their likelihood of converting into a customer. It can also help recognize individual behaviors and sentiments, which can be used to find patterns in customer behavior and improve the accuracy of predictions about their future actions. How convenient!

AI Assists in Selling

AI is not just capable of generating the content, but also in the sales process. It helps increase rates of conversion and gets rid of some human interaction in order to make the sale more efficient. The system itself is able to provide customers with personalized offers by scanning their information and recommending appropriate products or packages for them.

Did you know that the AI system has access to the company’s customer data and analyses? This isn’t just helpful, but it also assists AI to come up with a tailored offer for each customer. Eventually, making each sales experience unique for every customer. Who wouldn’t want to be prioritized? Artificial Intelligence helps you achieve that!

Final Thoughts

In the past, salespeople were able to perform all aspects of a sale with a prospect. However, in the past decade sales have evolved and selling is no longer a one-sided transaction.

Nowadays there are many more opportunities for prospecting and lead generation. This is where AI comes in handy because it can make the searching process much easier by capturing all relevant contact details from social media platforms or even posting ads to relevant online communities. What company wouldn’t benefit from an automated system that is good at assisting and obtaining good sales results.

Is AI Pushing Marketing Executives to Transform the Way They Think?
Artificial Intelligence

Is AI Pushing Marketing Executives to Transform the Way They Think?

Posted on | by Danni White

Today’s marketing professionals must always be on their toes – adapting to new tech, human habits, platforms, and engagement methods faster than any generation before. And the hottest area of interest at present?

Artificial Intelligence. AI marketing, specifically.

The marketing landscape is changing. So, how can today’s marketer’s leverage and understand AI marketing so they can use it to interact with and generate loyalty?

How Is Marketing Evolving?

Art challenges tech and tech inspires art.

This paraphrasing of a John Lasseter quote pretty much sums up marketing’s evolution. Marketing is much like art – marketing is an art, and therefore has a very closely intertwined relationship with tech. Before the internet and television, there was radio. During the days of radio, marketing was in the form of mass ads over the airwaves. No targeting was done. These ads went out to everyone listening, casting a wide net and hoping for a catch. Those marketers had to be especially creative because the consumer was a mere listener. The copy had to inspire and invoke imagery with words.

And then televisions arrived, and marketers had a new medium – the TV commercial. But advertising was still one-size-fits-all. It wasn’t until cable television entered homes that the art of segmentation began.

Brands created two or three different versions of a commercial for their target segments, which would then air during the appropriate times.

Direct mail started one-on-one campaigns, further increasing customizations. Then digital marketing entered, along with even more segmented customization.

AI marketing introduces the concept of one-person segments, and now brands have the means of creating a truly customized marketing campaign specifically designed for the person viewing.

That’s a lot of evolution. And even so, marketing fundamentals remain:

  • Address the needs of the customer
  • Focus on your product’s or service’s benefits, not its features
  • Emotionally connect with your audience
  • Be authentic

But isn’t that a pretty tall order?

How Can Marketers Meet These Challenges?

Marketers should strive toward reinventing themselves. But how? Some of the best ways marketers can meet the challenges posed by the evolution of their field and AI marketing include:

  • Enrolling in classes that teach Artificial Intelligence basics
  • Attending AI conferences
  • Experimenting with various mediums

The two key takeaways here are:

  1. Marketers need to invest in themselves, and
  2. Focus on their strengths

Marketers know consumers and what they need – sometimes better than consumers do. AI will only strengthen this knowledge. It offers the tools to glean clearer insights that can be used to develop ever more personalized AI marketing campaigns.

What Skills Are Marketing Organizations Looking For

Not every marketing professional has the time to take classes or attend conferences. AI marketing strategies require people who already possess an understanding of AI who can work with this technology.

Marketers need project management professionals that can develop new products on the fly. AI requires agility and a propensity for experimentation. People who are adept at managing multiple projects and creating flexible environments are a must.

Analytics professionals can help senior management understand the exponential amounts of data and make it valuable.

Finally, it’s because of this exponential data that marketing organizations will also need to refine responsibilities surrounding privacy, data management, and overall cybersecurity.

Are you ready to transform the way you think about modern B2B marketing? Connect with the team at Byonic.AI today.

How to Use AI for Lead Generation, Qualification, and Conversion
Article is about how AI can be used in Lead Generation, Qualification, and Conversion

How to Use AI for Lead Generation, Qualification, and Conversion

Posted on | by Danni White

Artificial Intelligence is a massive part of our lives, from social media ads to campaigns and different advertisements. It’s spread everywhere, and since it’s a huge part of our lives, it’s due time that we make the most of it and incorporate it in generating tools in our Business, start from today!

AI is the perfect tool you need to make far-reaching changes in your sales. In a recent report published, approximately 80% of people expect AI to play a supporting role in revolutionizing marketing in the years to come.

Let’s find out how businesses can incorporate Artificial Intelligence and machine learning in their business model to generate leads, qualifications, and conversions.

5 Ways to Use AI in Your Organization

1. Achieving Personalization in your Business

Quite a few people sometimes aren’t satisfied with the customer service of different brands. Hence, they do not prefer purchasing from them. Fortunately, with AI, you can make a massive difference in improvising your customer’s experience. How can that be done? You can track your customers on the website, their likes, and dislikes, and develop a good insight regarding customer behavior.

By using different tools, different data is gathered, and you can engage visitors on the site. Artificial Intelligence allows you to greet your old customers with their names, personalizing their experience and making them feel welcomed. You can wish them on their birthdays by sending an email and a small discount code to make their experience the best with your brand. By going through their browsing history and services or products, they like you can build a personalized list of products they may want on your website. Artificial Intelligence helps you achieve this!

2. Development an Accurate Lead

Your Business must have a proper and accurate lead segmentation, including division of your target audience according to age, demographics, their different behaviors. This will help come up with messages of a group of people who have the same interest. AI assists you in building a segment based on your buyer according to their behavior patterns and makes it highly personalized. AI helps you provide your customers with the best experience and helps your brand grow too!

3. Reduction in Repetitive Tasks

A recent study shows that AI and machine learning will save businesses up to $8 billion by 2022. You can use different chatbots to help reduce the burden on teams responsible for responding to customers at additional hours during the day. These chatbots can reduce the costs spent on customer support by 30% and handle most of the queries customers ask.

Today, you’ll find chatbots made for conversations only, and they can learn from every new interaction to help improve the performance. These chatbots help can help and guide customers through the sit and suggest different items according to the visitors browsing history. They enrich your business’s query resolution and keep proper records and updates. This makes the work so much easy for you!

4. Repetition in Success

Artificial Intelligence is a powered platform assisting in lead generation. Machine Learning uses different algorithms to achieve marketing intelligence. They search and scan various organizations and find the organization whose description is similar to yours according to the criteria instilled in the system. Through this system, you can easily lead and grow towards success as the AI creates a continuous pipeline.

5. Machine-Driven Email Campaigns

You can easily set up automated email services through AI, which can be driven by your database’s customer data and behavior. This technology is vital in using the history of the user, their interests, and browsing behaviors. AI creates and sends automated emails before or after an event, such as after purchasing, abandoning the cart, etc.

These emails have a high rate of opening because of the attractive subject lines and the content. They are a pretty convenient way of grabbing the customer’s attention.

Final Thought

We have established that AI is an integral part of our lives and supports our brands in making everything better. From customer experience to campaigns. But the real question is how to achieve all of the above? That’s when Byonic.AI comes in place. The experts at Byonic can help you accomplish all of the above through their know-how in machine learning and artificial intelligence. What are you waiting for? Click on their website and take your business up the notch!

Case Studies Using AI in Content Marketing
Article gives the Case Studies of AI Success in Content Marketing

Case Studies Using AI in Content Marketing

Posted on | by Danni White

Artificial Intelligence and its development have taken over a significant part of our lives. Today, almost all the activities related to content marketing are said to be the highest-rated used cases for Artificial Intelligence in marketing their product and services.

This has happened because, unlike any other facility, Artificial Intelligence is capable of many tasks. It can help you create and deliver and free up your team of experts to spend extra time on the creative tasks at hand. Let’s learn how to incorporate AI in content marketing in our daily lives; keep reading to find out!

Artificial Intelligence can easily tackle any issues for users, and for that, you’ll find tools that are commercially available online. Build competitive content using AI in marketing and start today. Here are some case studies of companies using AI to sell their content to build a better understanding.

Case Studies Using AI in Content Marketing

1. Chase Bank Applying AI to get Market Creative:

Chase Bank, a famous copywriting company, got on board and decided to apply AI in getting creative in the market. This didn’t just help them grow, but it changed the whole outlook of their content. By incorporating machine learning in their copywriting techniques, they achieved humanity in their marketing.

They came with digital ads providing the perfect solution to people, leading to organic traffic generation on their website and people leaning towards them for finance and retail solutions. How effective-immediate!

2. Starbucks Incorporated Predictive Analysis and Came up with Personalized Recommendations:

According to research, all those companies that value predictive analysis are organically increasing their revenue by 21% every year; yes, that’s right. On average, it only increases 12% without the use of predictive analysis, which is low.

Starbucks is a worldwide example of a brand that has incorporated its loyalty card and the mobile application to collect data and analyze various consumers. They believe in personalization and individuality and serves customers according to that. They have amped up their app experience, kept records of all the purchases, and customized messages according to customers.

They provide:

  • Recommendations on different items.
  • Letting them know what fits their type and what drinks or things to try.
  • Increasing the ordering value of a customer.

Starbucks did all of this through predictive analysis and perfectly incorporated AI in marketing. How cool!

3. Alibaba Starts a Fashion AI Store:

Alibaba, popularly known as the retail giant, just started an online FashionAI store in Hongkong. The goal of this store is to help streamline the fashion experience by incorporating AI. You can easily detect the garment tags as soon as you touch them; smart mirrors display different clothing and information regarding them. Another cool thing is that these intelligent mirrors suggest what goes with what, making it pretty easy for you to shop.

The retail giant plans to introduce a virtual wardrobe app in their brick and mortar stores to elevate customer experience and make it easier for customers to see what they tried during their visit to the store. How cool!

Approximately 46% of consumers enjoyed this virtual experience, which helped them build their confidence in the brand. AI in marketing is helping brands reach high up!

4. Custom Nike in just 90 Minutes!

In the year 2017, the brand Nike came up with a unique concept that allowed people to customize their  Nike Presto X Sneakers according to their style. The designs are easily printed on the sneakers and available in just 90 minutes!

This usage of AI gave the brand insight into consumer preferences. The machine-learning algorithm was used to create future products and deliver personalized messages to users. AI in marketing was fully optimized by the brand Nike!

Final Verdict: Is AI Effective or Not?

Yes, Artificial Intelligence is practical, but with a combination of your efforts too. That’s when Byonic.ai assists you in taking competitive measures; we at Byonic.ai provide you with all the insight, come up with excellent campaigns, scale your efforts, and make your content stand out. All of which is done by using AI in marketing. We have a team of experts that help you through different marketing tools and lead you to the top. Choose Byonic.ai, book a demo and reap the benefits of AI!

How Artificial Intelligence is Enhancing Customer Experiences
AI Customer Experiences

How Artificial Intelligence is Enhancing Customer Experiences

Posted on | by Danni White

Artificial Intelligence (AI) can no longer be ignored in the digital age. Businesses need to understand how AI works. AI programs and services can transform virtually every aspect of a business.

Automated processes and artificial intelligence are deemed the most significant technological advances of the century. Modern companies are now using artificial intelligence and machine learning to transform interactions, relationships, revenue, and services. 

Approximately 51% of companies now use artificial intelligence to improve customer experiences and hyper-personalize them. A good customer experience can be achieved with the use of customer service applications.

What is Customer Experience?

Making a purchase, using a product, or receiving a pop-up message all start the customer life cycle. It can also include contacting customer support or using the product. In general, the better the customer experience with a brand, the more likely they are to continue using and recommending it. Net promoter score is essentially a measure of customer satisfaction. 

Customers who have positive experiences with a brand tend to buy from that brand again. As companies strive for positive customer experiences, they are increasingly relying on artificial intelligence.

As a result, marketing departments are no longer required to manually segment audiences, write campaigns, or respond to communications from customers personally. These activities can now be assisted by AI.

AI’s impact on customer experience

1. Customer understanding is facilitated by AI

Brands can gain a much more accurate understanding of their customers by combining automatic learning and AI to gather social, historical, and behavioral data.

AI software is continuously learning and improving as it analyses data and can anticipate customer behavior, unlike traditional data analytics programs. The result is more relevant content, more sales opportunities, and a better customer journey.

2. Increasing sales and customer satisfaction

The use of artificial intelligence is becoming increasingly prevalent as companies look to maximize sales and customer satisfaction. 

A customer may see ‘recommended’ products while shopping online, for instance. To increase conversion and sales, brands can utilize clustering algorithms to provide better recommendations.

The same goals are being sought by these AI systems: to maximize purchases, sales, and customer satisfaction. The store, however, should not recommend products the customer does not like, since the customer is likely to return or not buy them.

3. Making real-time decisions and predicting behavior

A real-time decision is one made with near-zero latency by using the most current data available, such as data from current interactions between a customer and a business. 

The decision-making process can be used to market to customers more effectively using real-time data. Customers who use ad blockers can be identified in real-time and offered alternative UI components that keep them engaged.

One aspect of personalized recommendations is presenting customers with more relevant content. AI and real-time decision-making can optimize the experience of brands by recognizing and understanding customer intent as they produce data, in real-time.

4. The age of the AI chatbot is here

Customer service (via chatbots) is the leading application of artificial intelligence deployed today, according to an MIT Technology Review of 1,004 business leaders. As many as 73% of respondents believe companies will use AI for sales and marketing by 2022, followed closely by other departments at 59%.

Final Thoughts

The use of AI in customer service provides easy, efficient solutions. By harnessing big data and customer information, AI can help deliver a great customer experience. 

Customers will be effectively served if a customer service center is AI-based. Competitiveness can be improved with AI solutions. To gain the trust of your customers and increase loyalty, contact us at Byonic.AI. 

What is the Business Value of AI?
business value of ai

What is the Business Value of AI?

Posted on | by Danni White

With AI adoption, companies saw their profitability soar, their efficiency increase, and their business value increase during the pandemic.

It enhances human capabilities and enhances a company’s efficiencies, reducing operating costs. Also, AI can improve the customer experience, increase revenue, and safeguard engagement.

AI and Business in 2021

The AI trend is at its height in 2021. There have been many misconceptions and uncertainties arising from this topic. However, it is undeniable that artificial intelligence has value-generating capabilities. This technology is already benefiting most industries, if not all. Additionally, the business landscape has changed dramatically for companies.

The implementation of an AI strategy in many organizations has become challenging. It’s a huge investment, but it can yield incredible results. With today’s market being more tech-driven than ever before, staying competitive means leveraging cutting-edge technologies to build business strategies.

The goal of this curriculum is to give you the knowledge necessary to fully understand, adopt, and implement AI solutions in an enterprise setting, while also maximizing their value.

Companies unfamiliar with the applications of Artificial Intelligence are often misinformed about the field. Some believe AI is about human-like robots and magical codes, while others believe it is just too complicated to understand.  We are at a point in time where businesses can easily understand, access, and use artificial intelligence – making it all that more powerful.

Machine learning refers to the process of identifying patterns in large datasets that can be used to perform human-like tasks. This field dates back to the 1950s, but it has expanded rapidly since then.

Today, it is well known that computers are capable of doing many things that humans cannot. Innovating enterprises seeking to scale their efficiency have strongly reacted to this. However, for any AI project to succeed and generate value, it must have the support of the entire organization, including the top management.

Benefits of AI

Any business with large amounts of data can benefit greatly from AI – you can train it to get more accurate results over time through the use of appropriate algorithms. You can automate even simpler tasks that are predictable in time, such as installing large batches of applications or gathering system requirements, for instance.

Additionally, if you want to do business on a different continent, the data you have gathered from the existing department can be fed to the AI algorithm, which then will spit out the needed model and/or requirements that will be optimal for the new department on a different continent.

Final Thoughts

We are living in the age of Artificial Intelligence. Many (if not all) industries are already recognizing the value of artificial intelligence. Business applications of AI are undeniably transformative, so organizations must take advantage of the technology as soon as possible.  AI can be used to shape the value generated by a business’s AI strategy as needed by any company that decides to understand and implement it.

You still have time to begin your artificial intelligence journey if you haven’t already done so. The key to everything is access to data. Businesses should be able to identify the types, quantities, and quality of data needed to accomplish their objectives, so finding relevant use cases shouldn’t be a problem.

Take the next step and book a meeting with the sales team at Byonic.AI. While many AI projects carry high costs and time investments, they are well worth the effort to achieve success.