Why AI Automation is the Need of the Hour for Enterprises
AI Automation

Why AI Automation is the Need of the Hour for Enterprises

Artificial Intelligence or AI is the capability of a computer or a computer-programmed robot to complete tasks that are more commonly performed by humans. AI automation is today, so entrenched in the enterprise that it will be tough to go back to an earlier time when routine tasks still needed workforce.

Experts routinely apply the term ‘Artificial Intelligence’ to the process of creating such systems that are equipped with the rational and logical aspects usually attributed to human beings. For instance, the ability to apply arithmetical logic or semantic meanings, discern affinities, and learn from previous examples are all human qualities that have been replicated in machines, giving rise to the term artificial intelligence.

Today, computer programming is so advanced that algorithms can be coded to perform extremely complex work like assessing candidates for a job, robots in the hospitality industry or high-risk nuclear facilities, and more, with great efficiency.

What is Automation?

Automation refers to when one uses a machine to perform simple, easy, and recurring tasks that follow set guidelines or rules dictated by code.

Automation tasks are extremely repetitive and anticipated functions, much like the machines in factories manufacturing, for instance, car engines, making it repeatedly, throughout the day.

Automation requires a configuration to be created manually and for a human resource to oversee if the machine effectively performs the tasks. This means that humans must be able to predict and anticipate any and every action that the machine might take, thus leading to the machine being programmed to perform the correct way every single time.

This is the reason persistent surveillance is needed. If any changes occur in the environment, someone must step in manually to make the required adjustments.

Is Automation and Artificial Intelligence Same or Different?

Automation and Artificial Intelligence are not the same, though artificial intelligence can be used to drive automation to a significant extent.

Automation is a set of guidelines that is exclusively programmed by humans to perform specific tasks; if a function is not mentioned in the instructions or algorithm, the machine will not be able to execute it.

Artificial Intelligence, however, need not have a specific set of instructions. Instead, it can perform functions and tasks using broader guidelines and direct itself to succeed in tasks. AI can also learn from previous task actions and improve on its outputs based on what works and what does not.

What is AI Automation?

Automation and Artificial Intelligence can work in tandem to create better outcomes, and this is referred to as AI automation.

AI Automation is gradually taking over several routine tasks in enterprises small and large, as it is time-saving and efficient with the addition of AI technology. This brings a higher quality output due to the processing power of artificial intelligence.

Businesses that have implemented AI Automation are able to scale their capabilities, as a machine is performing their tasks.

The value of AI automation to enterprises is immense, as AI can start, stop, or even change what tasks it is executing based on feedback from the environment it operates in. For instance, AI systems allow marketers to set guidelines, so that there are zero chances of any unpredictable events or outcomes taking place. This means quicker, faster, and more efficient execution and marketing operations, better usage and accuracy in data, and overall improvements in customer experience. Businesses switch from causing commotion and confusion over repeated tasks to concentrating on contributions with more value.

Due to these obvious advantages, a Forrester study had stated that 25% of the Fortune 500 companies would report hundreds of examples of cases with AI automation usage.

So, how close are you to setting up AI automation for your marketing ops? Partner with us to benefit from our AI-driven demand-gen platform Byonic to reap rich results from your marketing programs.

How to Use AI with Inside Sales to Grow Your Business
Use ai with inside sales

How to Use AI with Inside Sales to Grow Your Business

Artificial intelligence or AI has been making waves for years. And though some industries and departments have embraced it, there are still many that have not.

While some sales teams have decided to harness the power of AI, others are still unclear on the benefits of making such a move. It’s an undeniable fact that closing deals rely on human interaction. The idea of passing on such an important role to a machine seems counterproductive.

Unfortunately, viewing AI as a replacement for salespeople is a mistake. It is not intended to replace but to empower sales teams to do their job more efficiently and successfully. Below are several of the ways that AI can fulfill this role.

Accurate and Fast Data Analysis

One of the biggest benefits of using AI in sales is its ability to analyze large sets of data in a fraction of the time it would take salespeople. This fact alone saves a sales department a great deal of time, but it doesn’t stop there. This analysis allows AI to provide sales teams with all of the following benefits, as well.

Pin Down Your Ideal Customer Profile

Businesses around the globe know how important it is to identify their ideal customer. Having an accurate ideal customer profile allows sales teams to use targeted messages and sales pitches as well as ensure they are selling to quality leads.

Unfortunately, pinning down an ideal customer profile can sometimes seem like a guessing game. It often has to be adapted over and over again, resulting in lost sales in the process.

Artificial intelligence can move through the process quickly. A comprehensive analysis of customer data can help sales teams swiftly and accurately pin down the ICP.

Improve Productivity

Your sales team needs to be able to focus on important tasks in order to achieve their sales goals. This can be a challenge, though, as there are so many tasks to be managed. By implementing AI, you can help free up your team’s time so they can do what they do best – close deals.

AI allows mundane tasks such as scheduling meetings and filling in CRM software to be automated. And once the ideal customer profile has been identified, AI can analyze current and potential clients to find matches. It can find the leads that are most likely to close and line up targets. When your team gets to work, they already know which direction to move toward.

Guidance Through the Buying Process

What if your salespeople had an assistant that could guide them through the entire sales pitch and buying journey? How many more deals do you think they could close if they could engage every single lead with customized messaging and specific recommendations?

AI can be that assistant. Thanks to the analysis that AI completes, it is able to provide sales recommendations that are specific to each individual lead. It can give targeted guidance that eliminates the guesswork of tasks such as pricing deals and knowing which upsells and cross-sells to recommend. This guidance can improve pitches and help your sales team from the point of first contact until the deal is closed. 

Personalized Experience

AI is an incredible tool for personalization for all current and potential customers. It can be utilized to customize a website visitor’s time on your page, which can help them better understand how your company and solution suit their needs.

For example, if you provide a software solution, chances are that you work to sell it to multiple industries. However, if an executive at a financial firm visits your website, they don’t want to read how your software can help a marketing firm. If they have to dig for information relevant to their firm, they might move on to another company. AI can ensure that only relevant content on your site is shown to the individual visitor.

It can also ensure that all written communication, such as email, is personalized to the individual. This can improve customer retention and customer acquisition, easing your sales team’s journey.

Accurate Forecasting

Artificial intelligence is also a great tool for forecasting. It analyzes data from previous quarters to provide predictions of your sales team’s performance for the upcoming quarter. This allows team leaders to pinpoint strengths and weaknesses and take steps to address challenges.

Continuous Improvement

Another benefit for sales teams is that AI is not stagnant. It is constantly learning and evolving. This means that its predictions, recommendations, and personalization will improve, which means salespeople can continuously improve their sales processes.

Final Thoughts

Implementing AI in your sales process is like turning your sales team into a group of superhumans. It provides them with clarified data, insight, recommendations, and guidance that they might not otherwise receive. It is one of the most effective ways to help them aim at and hit the right target instead of shooting in the dark.

How to Reduce Marketing Costs and Increase Sales with AI
Article is on how to increase sales with ai

How to Reduce Marketing Costs and Increase Sales with AI

Artificial Intelligence is one of the most talked-about issues these days, yet not everyone realizes how important it is for business. As a result, current AI technology has the potential to boost corporate productivity by 40%.

Customers spend 34% more money on a company’s products and services when it employs AI. Apart from that, 49% of respondents said they would be more likely to buy from the firm if it used AI consultancy.

AI’s Role in Marketing Cost Reduction

Let’s take a look at some of the ways AI may help marketers save money.

1. Customer Interactions That Have Been Automated

Despite the fact that many organizations and businesses have begun to employ AI and machine learning to streamline their operations, other enterprises continue to rely on human processes for jobs that might be performed more reliably and cost-effectively by automation.

Thus, by employing AI technology such as chatbots to automate customer support operations, such as addressing hundreds of inquiries in a day, firms may not only save costs but also expect improved quality standards.

2. Reduces Sales Costs but not Revenues

Whether a large corporation or a small business, the sales process costs a lot of money since the firm must spend on sales methods to stay competitive. Salespeople are now employing artificial intelligence (AI) to understand more about their customers as a result of technological breakthroughs.

As a result, AI not only reduces the need for salespeople but also increases income by providing individualized solutions and increasing conversions.

3. Successful Processes Can Be Automated

Various automation technologies have been created to fulfill corporate demands throughout the previous few decades. The goal is to increase the flexibility of the business process. In this new era, startups and enterprises are capitalizing on AI’s rapid advancement in automation.

A sophisticated artificial intelligence program is supporting leaders in predicting unusual events. Service businesses including retail, hospitality, and others

4 Ways AI May Boost Your Company’s Productivity

1. Lowering Operational Expenses

Another method AI increase a company’s efficiency is by lowering operational costs. Operating (or operational) costs are costs associated with your company’s fundamental activities.

2. Using AI To Reduce Mistakes

Errors can not only delay your product’s release date, but they can also cost your firm a lot of money. However, AI enhances your company’s productivity by reducing the number of mistakes.

3. AI Can Help You Make Better Decisions

Artificial intelligence has a major influence on enhancing decision-making, according to more than half (54%) of top company leaders. You may also examine data on client behavior or market trends using AI to improve productivity. It will enable you to make more data-driven business decisions.

 AI may be used by businesses to improve productivity, anticipate trends, optimize logistical operations, establish prices, and give targeted promotions, among other things.

4. Increasing Output

Enhancing your company’s production output is the second technique to improve its efficiency. Artificial intelligence (AI) may be used to automate and optimize many aspects of business, including industrial output. Artificial intelligence can help you automate some industrial processes.

How to Use Buyer Intent Signals for Sales Impact
Article is on Buyer intent data

How to Use Buyer Intent Signals for Sales Impact

Buyer Intent signals demonstrate that a client is going to make a buy. You may employ a variety of intent signals, each of which will assist you to identify prospects based on distinct factors. Some of these will assist you in identifying prospects at the top of the funnel (TOFU), while others will assist you at the bottom (BOFU).

TOFU indications indicate that the buyer journey has begun. They’re probably not ready for your sales presentation, but they do want to learn more about their problem and potential solutions.

When customers are about to make a purchase, they will get a BOFU signal. They want to locate a vendor that can address their problem quickly so they can get started.

What Are the Advantages of Using Buyer Intent Data?

The primary (and most essential) advantage of employing intent data is that you avoid communicating with disengaged buyers.

You’re effectively narrowing down your prospecting pipeline to solely qualified buyers.

Not only will this significantly improve your conversion rate, but it will also provide your sales and marketing teams a significant competitive advantage.

How Might Buyer Intent Data Benefit Your Sales Team?

Your sales technique will be revolutionized thanks to intent data. It can assist you in the following ways:

1. Shorten Your Sales Cycle

It will be simpler to convert active buyers. You may easily reduce your sales cycle by focusing your efforts on active buyers.

2. Leads Should Be Classified and Scored

Buyer intent data provides you with a wealth of information about your prospects. This may be used to divide your prospecting list into categories.

3. Upsell Your Items

You may use intent software to see if your present clients are contemplating alternatives to your own products. To put it another way, you can find out whether they’re spying on your rivals. Make use of this knowledge to market things they haven’t tried yet.

4. Figure out Which Leads Are of High Quality

Buyer intent data identifies internet leads who are interested in your items. These leads will be easier to convert, resulting in a larger return on investment.

5. Make A Prospect List That Is Highly Focused

You can identify which leads are high-priority by learning more about your prospects. You may utilize intent data to structure your prospecting list more effectively.

6. Make Your Sales Pitch Unique

Data about a buyer’s interests and pain areas is known as intent data. Use the information you’ve gathered to adapt your sales pitch to their specific requirements.

7. Begin Incorporating Data on Buyer Intent into Your Prospecting Efforts

Intent Data is critical all alone; however, it is best when joined with extra information focuses like firmographic, technographic, and commitment measurements to foster a comprehensive scoring model that incorporates qualifying rules and commitment. When utilized accurately, Intent Data might be an incredible indicator of which records are probably going to purchase your item or service.

Conclusion

Prospecting has altered dramatically as a result of buyer intent data. We’ve never seen the ability to deliberately target a decision-audience maker’s in order to influence their purchasing decision.

The days of spam emails and mass outreach with low conversion rates are long gone.

How to Effectively Engage Leads with Artificial Intelligence
Article tells how leads with artificial intelligence your perception of your leads.

How to Effectively Engage Leads with Artificial Intelligence

With the introduction of artificial intelligence, one of the most disruptive technologies in human history, the way businesses interact with customers has undergone a radical shift. Businesses may now make smart and fast decisions to enhance sales and improve the effectiveness of their connection with their target market, thanks to AI insights taken from the avalanche of data accessible to them.

Here are five significant ways that AI is elevating consumer engagement efforts:

1. Recreate Previous Achievements ‍

Machine learning algorithms are used by AI-powered lead generation systems to build market intelligence by reviewing lead generating data from hundreds of organizations at the same time to select the best-fit leads for your business based on predefined criteria.

These tools may also find prospects that match your existing customer profiles, resulting in a consistent stream of high-quality leads.

2. AI Can Match Clients with Salespeople and Customer Service Representatives in The Most Efficient Way Possible

It may forecast the result of interpersonal encounters by assessing elements such as previous interactions, demographic data, and contextual data in order to evaluate whether or not consumer engagement would be successful—and why.

Audiences can be segmented by gender, geography, purchasing history, online behavior, and other factors, and then insights into individual prospects can be provided. It may then search for and evaluate trends that will aid in predicting the result of a meeting.

3. AI Can Assist Firms in Locating New Clients

According to a report published in Harvard Business Review, organizations that employ AI in sales have seen a 50 percent boost in leads and appointments. Without a human salesperson present, automated sales assistants are already helping organizations sell more by engaging all prospects in human interactions. These AI-powered assistants engage potential clients in genuine, two-way email dialogues, and they keep engaging them until they exhibit interest or explicitly opt out.

4. AI Can Produce Customized Messages That Speak to Each Prospect or Consumer in The Most Effective Way

This can also aid in determining the best channel via which a targeted campaign should be delivered. There are AI solutions on the market today that can forecast a prospect’s or customer’s personality based on an examination of their publicly available textual data. Based on the unique dynamic between the sales salesperson and the customer, the technology may even deliver customized email advice and communication ideas.

5. AI Can Assist in Determining the Intentions of a Prospect or Client

Thousands of first- and third-party signals may be monitored and analyzed using the technology. These signals might include a variety of behaviors, such as which pages of your website the prospects viewed, how long they stayed on the page, and whether or not they accessed a document on the page.

There is a slew of additional indicators as well. Did the potential customer stop by one of your tradeshow booths? Did they dial 911 for help? Do you want to attend a webinar? Have you seen a product video? AI can decipher tens of thousands of data points to determine whether or not a prospect is actively studying a product or service.

Conclusion

As an intuitive tech tool, AI lead generation tactics may naturally increase your lead generation efforts. If you’re in the sales and marketing mentality, AI lead-generation methods can modify and improve your behavior and perception of your leads.

As a digital strategy, you may employ AI lead generation software. Leads with artificial intelligence software solutions can now, more than ever, hone in on leads that are engaged, intrigued, and hooked to your business. Finally, remember that artificial intelligence (AI) is the future of a lead generation.

How To Personalize Email With AI
The article is about Personalize Email with AI

How To Personalize Email With AI

Email marketing is still one of the most effective internet marketing techniques for connecting with clients directly. Email is still widely thought to have the greatest open and click-through rates. While this is true, email marketing frequently fails due to a variety of factors, including a lack of personalization.

Personalization of emails has become a necessary component of any marketing strategy. Personalization is used at all stages of the email marketing campaign since different people respond best to different types of content.

The Importance of Artificial Intelligence in Email Marketing

Artificial Intelligence (AI) and machine learning (ML) are methods for computers to use a given collection of data to execute a certain function successfully via trial and error. With its three Ds: Detect, Deliberate, and Develop, AI can figure things out for itself.

With 1:1 personalization, Artificial Intelligence is improving e-mail marketing. AI allows marketers to tailor their content and automatically send the appropriate message to the right audience at the right time. Let’s look at how email marketers might use artificial intelligence to strengthen their marketing plan and get better outcomes.

Email Personalization using AI

AI allows emails to speak to each recipient personally. The personalization we’re referring to goes beyond just calling people by their first names. These tailored emails consider data and behavioral factors. It is now feasible to optimize every aspect of the email with AI in control. Let’s have a look at how it’s done…

1. Sending Time for Emails Has Been Improved

Marketing pioneers have underlined the need to send emails at the proper day and time. It’s not only about the right people or the appropriate material, but it’s also about the proper sending time. AI compiles data from previous campaigns to swiftly generate engagement numbers.

The timeframes of the campaigns that received the most email opens, the clickthrough rate, and conversions in the past may be followed down. This allows businesses to plan their email promotions around the times when their subscribers are most engaged.

2. The Email Replica

We weren’t exaggerating when we mentioned that AI could assist you to improve every aspect of your email. AI can handle everything from the email subject line to subscriber name customization, content relevancy, a tailored offer, CTA positioning, and suggestions, among other things.

It takes the guesswork out of what could work in an email and concentrates on what has worked. Personalized subject lines are 26 percent more likely to be opened, and customization includes a variety of email text components that can improve overall email effectiveness. Email open, click-through, and conversion rates all improve as a result of this.

3. Include the Human Element

The idea is to make email marketing more personal by giving them a one-on-one feel. AI-assisted emails are data-driven and personalized. The analysis is a big aspect of implementing AI into emails, and there’s a lot of it.

Understanding user behavior by looking at their website visit touchpoints, how they respond to previous mailings, action triggers, browsing and purchase history, engagement metrics, subscription choice, and other factors. With AI techniques, it is feasible to examine a list that may appear intimidating.

4. Drip Marketing

Drip email campaigns, often known as automated emails, are an important component of email customization. When you send more than one email concentrating on the same issue, such as a suggestion, cart abandonment, or welcome series, your readers perceive you as positive persuader.

 Because automated emails are based on user activities, they are the most relevant. Such routines might become your routine without much effort if you use excellent email customization strategies.

Final Thought

With implicit lead nurturing strategies, email personalization is the art of converting prospects into customers. AI is here to stay and thrive, and all of the breakthroughs it provides have a positive influence on customization in emails.

Users of all levels enjoy humane, on-demand, and relevant emails. If you’re having trouble setting up AI-powered email personalization campaigns, Byonic.AI can assist in creating email marketing campaigns that convert.

5 Ways Natural Language Processing (NLP) Is Changing Digital Marketing
Natural Language Processing

5 Ways Natural Language Processing (NLP) Is Changing Digital Marketing

Humans have an inherent ability to communicate, but computers do not. For them, comprehending the context of our words is a great problem. It is the goal of NLP to change this.

Natural Language Processing (NLP) is a part of artificial intelligence (AI) that utilizes software engineering and computational semantics to empower PCs to comprehend, decipher and change them frequently irregular universe of human language. Accordingly, its definitive object is to help PCs in figuring out what individuals say that benefits them.

5 Ways to Improve Your Digital Marketing with Natural Language Processing

1. Consider the Advertising Funnel

What are the requirements of your target market? Where is your customer seeking solutions to his or her problems? Natural Language Processing (NLP) is a powerful tool for intelligently targeting and placing adverts in the right place, at the right time, and for the appropriate people. Any company’s ultimate objective is to reach out to the proper customers for their product. NLP helps to target the correct consumers by matching the right keywords in the text. Keyword matching is a basic NLP operation that pays off handsomely for organizations.

2. Seek to Understand Customers through Sentiment Analysis

Because natural language processing (NLP) has advanced significantly in recent years, AI can now extract the intent and sentiment underlying the text. This may be used to determine the emotion of individual customer discussions and drive the conversation toward a conversion. It may also be used to examine the emotion of big groups and to steer group dialogues.

Sentiment analysis may be used for a variety of purposes, including brand monitoring, competition research, and product analysis.

3. Customer Service

The highest task and obligation of every corporate organization is to ensure client loyalty by keeping them pleased and happy. NLP has benefited in a variety of customer service roles and has shown to be a valuable technique for gaining insight into audience likes, preferences, and perceptions. Speech separation, in which the AI matches each voice to the appropriate speaker and responds to each caller independently.

NLP might help the engineer translate the caller’s speech into a text message that can be easily analyzed. To summarize, this would be a fantastic method to get a sense of your audience’s pulse.

4. Market Research

Market knowledge and information flow between diverse organizations, stakeholders, governments, and regulatory authorities affect and affect business marketplaces. It’s critical to keep up with industry trends and standards as they change. NLP is a beneficial tool for firms to watch and analyze market intelligence reports and extract the information they need to develop new strategies. NLP, which is widely utilized in financial marketing, provides in-depth insights on employment changes and market state, tender delays, and closings, as well as pulling data from enormous repositories.

5. Chatbots

These days, we hear a lot about chatbots; they’re the answer to customers’ frustrations with customer service call help. They offer sophisticated virtual support to customers with basic problems and unload low-priority, high-turnover chores that require little competence. In the near future, intelligent chatbots will provide personalized support to customers.

Many industry observers believe that chatbots will become an emerging trend that will provide real-time answers to common customer support issues.  They are beneficial in that they provide standard answers to frequent issues. Chatbots can assist save time, human effort, money, and give efficient solutions while also being improving with time.

Final Thoughts

In general, natural language processing can help companies to better understand and meet their consumers’ demands. Improvements like these can help you attract new consumers, retain old ones, increase brand loyalty, and raise revenue. Schedule a demo today and see how Byonic.AI can assist you in improving your marketing campaigns.

Choosing Key Metrics to Understand the Buyer’s Journey
Article gives the steps to chosse the Buyers Journey

Choosing Key Metrics to Understand the Buyer’s Journey

Marketing success depends on many factors. It takes a lot to execute brand strategy, content strategy, and production. Even though you have a grand plan for how you’re going to make it all happen, you must never forget one thing: your metrics.

Your hard work will be wasted if you do not have metrics (or a framework for defining metrics). There’s no way to find out what’s working, what’s not, how to fix your marketing or improve it, or how to justify your decisions to higher-ups. It’s not just about having metrics; it’s about choosing the right ones. 

What is the Buyer’s Journey?

Content types can be difficult to determine. The concept of the buyer’s journey will help you become a more effective digital marketer once you understand how to incorporate it into your content strategy.

The buyer’s journey describes how someone discovers a problem, researches it, and finally purchases a product to solve it.

Based on that definition, the buyer’s journey can be divided into three stages: awareness, consideration, and decision.

What Buyer’s Journey Benchmarks Reveal

There is no longer a straight line between discovery and conversion in the B2B buyer’s journey. There is more information available to B2B buyers than ever before – and that isn’t always a good thing.

In addition to the buyer’s journey, buyers can be overwhelmed by the amount of information and options available online. Buyers’ journeys often loop and repeat, like this:

The number of channels and repeating loops makes it more likely than ever for buyers to drop out of the buying journey, which costs brands millions of dollars in lost sales.

The measurement of buyer journey benchmarks throughout the buyer journey allows businesses to understand where buyers are falling out of the funnel – and offers key insights into how to keep them there. Most B2B marketers don’t track the right benchmarks.

Choosing Key Metrics to Understand the Buyer’s Journey

  • Consideration

    Engaging your target audience with brand content will help you create a demand for your brand. Again, you can accomplish this with posts, but go one step further and respond to people’s comments.

    Remember that engagement is a two-way street, so keep the conversation going. Look at the number and type of engagements to determine success.

    Did your posts receive many comments? How many shares and likes did you receive? Last but not least, make sure you know how many people visited your business.

  • Awareness

    Getting your brand in front of prospective customers is your first objective. Brand content is one way to do this. A brand’s activity metrics include posts on its social media timeline and paid boosts to gain more traction.

    You can measure success by looking at impressions and reach statistics. Those with the highest impressions will see your posts more often. As your reach increases, your post gets exposed to a wider network.

  • Decision

    A lead is worthless if it does not turn into a sale. Use targeted offers to drive conversions. Offer people an offer they can’t refuse. Your key performance indicators (KPIs) for these activities are the link clicks on your social media posts – if people click, they’re serious about buying, signing up, or taking advantage of a trial.

    Analyze your business’s impact by counting conversions, which can include purchases, subscriptions, downloads, etc. You can track your links so you can follow a social media share through to a purchase made on your site or a form filled out.

  • Adoption

    Now that you have the customer, you want them to come back again. For this goal, post-sale customer service is the best strategy. Your brand can drive engagement with its products or services on social media.

    Online responses to customer questions and complaints are crucial for social customer care, and they can be measured by the response time, response quantity, and positive mentions from satisfied customers. Customer satisfaction impacts business sentiment positively.

  • Advocacy

    Last but not least, you want repeat customers to become brand advocates. Are any of your customers willing to write a review or testimonial or post a post on social media about their experience with you?

    Engage customer influencers with posts, reshares, and outreach to get better and wider-reaching results.

    Utilize the earned impressions and earned reach generated by social sharing, media coverage, or any other third-party involvement to measure the success of these activities.

Conclusion

The buyer’s journey is complex, which makes it hard to figure out where your sales and marketing processes are failing.

To track success, it is essential to track metrics. Tracking the right benchmarks at each stage of the buyer’s journey can help you understand which measures are effective, and which aren’t.

Can Artificial Intelligence Increase Sales Team Productivity?
Article tells how to boost sales with AI

Can Artificial Intelligence Increase Sales Team Productivity?

There is a great deal of buzz about artificial intelligence (AI) and how it can transform businesses. The sales industry is no exception. 

In light of all the success stories, one might conclude that most sales forces are well on their way to achieving value from AI.

AI is currently only being used successfully by a small number of sales forces. Some sales forces have been working on building systems for years without success. Most have not taken even the first step.

AI has tremendous potential to transform sales. Yet few of the success stories you read suggest that companies need to overcome many challenges before they can reap the benefits. 

What is AI in Sales?

Several technologies are included under the umbrella term artificial intelligence, such as machine learning, computer vision, natural language processing, deep learning, etc.

In essence, all of these techniques enable machines to perform specific cognitive tasks on par with or better than humans.

Artificial intelligence-powered computer vision systems in self-driving cars, for instance, recognize obstacles the same way humans do, enabling the machines to drive.

Using artificial intelligence, your favorite voice assistant, such as Alexa or Siri, understands your words just like another person, then responds accordingly.

How AI can Increase Sales Team Productivity

1. Putting together a cross-functional team

New roles with specific skills are needed to bring AI models to life. For the sales team, products, and customer needs to be heard, members from sales are crucial.

Data scientists, machine learning engineers, and big data experts are needed for the project. A boundary spanner-someone who understands both technology and sales-is also needed to link all of this together.

2. Integration of multiple sources of data

Massive amounts of data are processed by AI systems. In some cases, the data is structured and in others it is unstructured. It is hard enough to assemble the data for one-time use. Continuously updating the data can be time-consuming, expensive, and daunting.

As long as the data are free of systematic bias, artificial intelligence can work with incomplete or imperfect data. AI can improve the quality of data by predicting missing values or identifying errors, for example. 

( Also Read: 6 Ways AI Will Drive Innovation for Business in 2022 )

3. Increasing CRM adoption

AI captures all contact and activity data and maps it to the appropriate opportunity accounts, eliminating manual CRM data entry. As a result, sales teams view the CRM as a reliable “single source of truth” and adoption increases.

4. Coaching sales based on data

Coaches can identify areas for targeted coaching based on benchmarking data, helping each rep reach his or her full potential. Artificial intelligence lets them set goals and track each rep’s sales activity.

Analyze pipelines, forecast deals, and improve forecasting. Companies can connect more dots by exposing data previously unseen by sales teams. Using AI, you can analyze real-time pipelines and track deal trends with insights into what makes a deal likely to succeed.

5. Increase price optimization

The decision of whether to give a discount to a customer is always a tricky one. Leaving money on the table is as important as winning the deal. By analyzing specific features of a previously closed deal, artificial intelligence helps sales departments estimate an appropriate discount rate for a proposal.

Conclusion

Many organizations have embraced AI and the changes it has brought, however, others fear the idea of AI and the fact that it is quickly becoming part of daily life. 

The beauty of AI, however, is that it doesn’t simply replace humans; instead, it helps businesses amplify their presence and improve their sales by presenting effective solutions.

Artificial Intelligence is no longer limited to self-driving cars such as Tesla or Apple’s iPhone companion Siri.

We live with it every day, and it has the potential to significantly increase our productivity and success. If you want to stay competitive, it is time to leverage artificial intelligence.

5 Ways to Use AI to Enhance Customer Experiences
Customer Experience

5 Ways to Use AI to Enhance Customer Experiences

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.