Artificial Intelligence Archives - Page 2 of 2

The best of both the world’s is required, but it is PEOPLE who add more value

“Integrating HI + AI into daily contact center business operations has the potential to reshape the workplace and provide beyond belief opportunities for growth.” It seems that more and more everyday processes and jobs are starting to include a measure of automation, where there’s less for flesh-and-blood humans to do a specific task to be completed. That’s most certainly become apparent when it comes to call centers. With that in mind, you should know there’s much to be gained when you harness the power of AI and people rather than letting it become a source of anxiety. Artificial intelligence is good, but it is people who are working on the information derived from the technology. Let’s look why Humans cannot be replaced by Bots/Machines/AI. Some People Prefer Human Interactions Even though consumers have grown accustomed to interacting with automated services and not having to interact with another human when paying their bills or receiving answers to their questions, there are some situations that entail human touch. When that time comes, your callers expect efficient and professional service. Something else to think about is the fact that if your AI program is not sophisticated enough, it can cause more problems than it solves. Customers become frustrated while repeating the same responses, which can send them straight into the arms of your competitors. So how can you utilize such technological capabilities the right way? Customers Like to Be Entertained For all its technological advances, AI isn’t well-known for its humor. Sometimes all that’s needed to make a customer’s day or to diffuse a tense interaction is to inject a bit of humor into the situation. Your representatives are able to do this on the fly, usually in a way that’s neither too much for the situation nor too little to elicit a genuine laugh (or at least a smile). This use of humor paints your company as well as your call center in a positive light, one that’s sure to delight your audience and keep them on as loyal customers. While delivering impeccable service is certainly one of your top priorities as a call center leader, part of that quality service is putting your customers and callers at ease, and what better way to relax than with a good laugh? Find the Right Balance Between People and Machine The best and the first place to start is with analytics. It’s important that your AI program recognizes when it encounters a situation that’s best left to an agent. Some calls and issues require a bit of human empathy, and even the most well-programmed automated call center program can’t deliver that. There are occasions when a caller just wants to know your company truly cares and is making an effort to resolve an issue, even if it takes longer than he or she might like. On the other hand, an agent can provide the human touch in ways that are still beyond the capacity of AI. Look Ahead to Stay Ahead Customers have always wanted a seamless and effortless form of responses to their issues. According to Forrester’s report of 2014, understanding customer emotion and empathy are the most critical components to gain successful customer experience. Here, to touch the heart of the customer services being delivered, the human touch is required. When you have both, your investment in AI software can facilitate a marked improvement in agent success and retention, customer satisfaction and overall operational efficiencies. Artificial Intelligence along with people represents a huge step forward in delivering exceptional customer service experience. However, for its success, AI technology needs to be combined with conventional people skills to deliver a seamless customer experience which can balance your customer interactions with empathy. This ultimately provides a tailored experience for every customer issues and needs. Our Solution – Etech Insights Because meeting and exceeding customer expectations is the only priority. Etech’s quality solution, Etech Insights, works as an AI+HI solution. By synchronizing human intelligence with the data gained from artificial intelligence, Etech Insights helps you in identifying your customer’s/agents behaviors that enhances overall performance. We help businesses to connect with what customers really want. Learn how to make use of 100% of interaction data while understanding insights that are sure to improve and enhance every part of the contact center with Etech Insights. This blog was first published on LinkedIn

Combining AI and Human Intelligence Can Lead to a Seamless Customer Experience

Ongoing developments in technology have resulted in artificial intelligence that is capable of mimicking many human behaviors and responses. This increasing capability has been much appreciated by those who manage overloaded call centers. This is not to say that AI is set to take over the call center industry, only that it has been proven to be increasingly beneficial on many levels. The human touch will always be required to keep customers completely satisfied. Call centers must, in essence, use the right blend of human emotion and automation to fully benefit from these recent technological innovations. The Unintended Cold Response Though automated systems in call center environments have become more common, many situations still call for the ever-important human touch. This touch must be professional, proficient and empathetic to the customer’s needs. Call centers that rely too heavily on colder automated intelligence in order to cut costs or attain desired results frequently find that the loss of the competent, warm human touch leads to growing customer attrition rates. Customers may also perceive a cold response in relation to a phone interaction when an AI program becomes outdated. All too frequently, customers become stuck in a loop of repeating responses to an AI system that simply cannot process the information correctly. And a dissatisfied customer today is a lost customer, as there are plenty of options from which they can choose. Evaluating the proper role of AI in a call center environment as well as the need to update and review the effectiveness of such software is a must in an era where customer satisfaction rates mean everything. The Best Balance Of paramount importance is the ability of an AI program to recognize the point in a call indicating that a customer should immediately be transferred from an automated system to a live agent. The more quickly and easily this task can be completed matters as this tends to be the point at which customers begin to be dissatisfied with the level of automated service. Interaction with an empathetic agent is often just the right move. In order to determine the correct balance between artificial and human intelligence, companies must start with analytics. An automated call center program should be capable of listening to agent interactions, caller queues and gathering additional information. This information, when presented correctly to call center managers, can show where changes in policy, format or wording need to be made. The right balance means that customers are happy because they feel their needs were truly met. Past information is Critical for Future Success Data that is gathered in the background of each and every call can provide invaluable information. With such data, call center managers can figure out what irritates callers, makes them happy, soothes them or drives them completely away. Managers can use this critical data to change automated responses, increase or decrease the number of options available to each caller or even give customers the ability to skip all automation and work solely with a live agent. As AI increases in intelligence, it can also offer invaluable insights, such as suggestions on which department might be best able to assist customers based on specific indicators. Going even further, some AI technology is advanced enough that it can pair customers with specific needs to the agent who will be most able to assist with each specific issue. Such beneficial use of data only works to increase overall customer satisfaction rates. The Combination of AI and HI Can Still be Personal The end goal for every customer interaction in a call center environment should be great customer service, whether the customer is interacting with a human agent or with an automated program. By considering the ways that customer experiences might be personalized, contact center managers often come up with innovative ideas. For example, a system that is able to link a customer phone number to a name and basic information leaves many customers feeling relieved that they were not required to waste time providing information the company already had. Introduce Human Intelligence to its Artificial Counterpart While some call center agents might consider AI as an inconvenient eavesdropper listening in the background of every call, others realize just how many benefits are derived from the data gathered. Not only can this data make callers happier, it can also make the workload a little lighter for agents. Managers that take time to educate call center employees about the benefits and end-results of artificial intelligence have found that agents appreciate and tend to work more willingly with this amazing technology instead of considering it the enemy. Whether these benefits include decreased talk time, an easing of calls during the busiest times of day or automated suggestions about which department might be the most beneficial for each caller, it is certain that both agents and customers can grow to love the AI + HI combination. As humanity continues to realize the benefits gained from technology, it is becoming easier to appreciate the seamless results derived from the interplay of artificial intelligence and human intelligence, especially when it means better customer service. This blog was first published on LinkedIn

Can Hybrid Intelligence help Artificial Intelligence and Human Intelligence Coexist?

The days of mentioning artificial intelligence only in the realms of science fiction are long gone. Today, AI is all around us, though many do not even realize it is there. Still, some think that AI is going to take over in our workplaces, in our cars and in our homes. And the thought of being completely replaced by such technology is enough to make some people resistant to any new technology. In truth, artificial intelligence can and does coexist with human intelligence each and every day, and the world is a better place because of this compatibility. Such compatibility in a work environment can be called a hybrid workforce or hybrid intelligence. In such a group, both parties work toward common, superior results which can be accomplished more easily than if each group was working on its own. Peaceful Coexistence is Already Here One example of just such a multiplicity or hybrid workforce can be seen in industry giants such as Facebook and Google. In each of these companies, technologies that are driven by AI recommendations combine with human input, typically generated when human device users click, like or conduct frequent searches. The result of the combined information is the ability to predict what consumers would like to see or purchase next. In the future, AI is predicted to evolve and become less dependent on human intelligence, though there will always be a need for some level of interaction. Another entity benefiting from the combined efforts of AI and HI is Amazon Go. In this instance, the human input includes what would seem to be a very normal day in the grocery store. However, each time a customer picks up an item from the shelf and puts it in the cart, an AI system keeps track in a virtual cart. Because all items have been accounted for and tallied while the customer shops, there is no need for a stop at a cashier’s desk. Instead, customers simply walk out of the store with their selected items. AI takes care of the rest as a credit card linked to the customer’s Amazon account is charged and a receipt is sent. Changing the Workplace Hybrid workforces are already changing other types of work, typically done only by humans, is completed as well. For instance, one artificial intelligence system powered by IBM Watson analytics was given the challenge of being an online teaching assistant for a professor. The professor estimated that in only a year, the AI system could answer 40% of the questions students asked which allowed the human assistants to engage in other, more complex tasks. Again, nobody in this department expects that AI will begin to answer 100% of the questions and begin teaching the online course, removing the need for humans completely. Instead, they are able to see the harmonious existence and make good use of the time the AI system has managed to free up. Benefits of AI Some who are still resistant to the increasing use of AI ask the age old question “but do we really need it”. The answer becomes clear as benefits are discovered. Because AI is machine learning, the chance of making errors is very small. The came simply cannot be said with human counterparts. And most business owners know that human error and sometimes system error can result in a loss of capital almost every time. This is where AI can be beneficial. One new type of AI system has been installed above cashier stands in retail locations. Though it is almost unnoticeable, the system scans each transaction and sends an alert if an item fails to scan or if a cashier fails to scan something. Again, the human is necessary in this instance, the AI system stands as the failsafe for the company’s best financial interest. Benefits of Etech Insights Etech Global services understands that customers are the most important asset to every company and as such has committed to using all types of intelligence in the quest to improve the customer experience. One such solution, powered by AI and carried out by HI is known as Etech Insights. This innovative system provides actionable date that helps contact centers succeed by: Improving the customer experience Boost agent performance Increase profitability Increase span of influence Contact centers using this system benefit from massive quantities of data gathered and analyzed in the background by the AI engine. Once performance enhancing behaviors and voice-of-customer insights are presented, contact center managers can work with agents to improve even the seemingly insignificant parts of a call routine. Quality monitoring, Customer satisfaction rates and benchmarking all become one step easier with the acceptance and use of Hybrid intelligence. This blog was first published on LinkedIn

Artificial Intelligence: A Product of Human intelligence

Before current contact center technology was widely available, there were very few effective ways for contact center management to increase metrics such as call times, customer satisfaction rates and increased revenue. Gathering information was often done by managers as they listened in personally to as many phone interactions as they had time for. Following the time spent listening, managers then spent time reviewing any notes they had taken, trying desperately to find problems, indicators and patterns that might show them where improvement could be made. Contact center agents focused on working to resolve customer issues and answer questions with occasional suggestions from team leaders or managers about how they might be able to improve. The Fears about AI Today, technology has managed to surpass what fiction writers could only dream of years ago as artificial intelligence now exists in four basic types. These include: Reactive – Given a situation, this type of machine has the ability only to react. Limited Memory Theory of Mind Self-Awareness The world has been exposed for years to stories about artificial intelligence and robots taking over the world. These science fiction stories have managed to leave most people with a healthy dose of fear when it comes to artificial intelligence. The main difference between fictitious AI and AI systems that are in use today is called “sentience” or “self-awareness”. It may have been simple for a script writer to write about a system that is aware and is suddenly able to take over and get rid of humans. However, in reality, AI systems are not self-aware. They are machines that can gather, calculate and compile unbelievable amounts of information for human benefit. Some may complain that humans no longer have to think and calculate as they once did. Others worry that basic math and computation skills are at risk of extinction due to the unique abilities of artificial intelligence. No matter what the fears are about AI, it is here to stay and benefits the general population in ways that we hardly ever think about. Benefits of AI Most, if not all, fears about AI are completely unfounded. Even better, there are many benefits to AI systems, and the number keeps growing. AI is used in the background of many businesses so that work is completed more easily and with fewer mistakes. The large percentage of people who use computers as a vital part of their jobs benefit from AI as it makes tasks such as banking, accounting and bill paying much easier. This means employees can then dedicate their efforts to other ways of helping their company succeed. AI has also helped to improve worldwide communications making it possible for many companies to do business across the globe. This new and improved style of communications also enables the almost instant transmission of news across the globe which is a great benefit to individuals, communities and countries as well. In essence, old fears about AI seem to be slowing as many realize just how many parts of their daily lives are improved by the massive data analysis going on in almost every public and private space today. Hybrid AI – The Best of Both Worlds So, what happens when humans stop being afraid of artificial intelligence and begin to look at ways it can be beneficial? When both begin to work together, the result is called Hybrid Intelligence. The result is that both AI and HI can take time to the things they do best. This complementary relationship typically means that machines work in the background gathering, compiling and making vast amounts of data understandable. Humans are then able to take the information and make necessary changes accordingly. One example of a successful hybrid intelligence situation is in the contact center. Though machines do not have the emotional intelligence needed to interact on a competent basis with customers, they can gather data from each and every call that comes through the contact center. Some of the information that is gathered might include: What questions customers are really asking What causes higher levels of frustration in customers What phrases tend to put customers at ease The call script with the highest customer satisfaction outcome rates Pinpointing specific words that may mean a customer is getting upset Once contact center managers receive actionable data from the AI system, they have the ability to make sound decisions that benefit contact center agents, management and customers alike. Such a partnership can help many types of businesses reach their full potential. In a call center, the fact that AI is able to convert every conversation into measurable, actionable insights only benefits the human side of the equation. When AI helps a call center to identify successful agent behaviors, reduce operating costs, lower customer effort and heighten the customer experience, a business can grow in ways that may not have been possible before.

Artificial Intelligence Benefits in Call Centers Worldwide

Many of today’s adults remember a time when artificial intelligence was something mentioned only in relation to science fiction. Such mentions frequently involved futuristic self-driving vehicles, computers capable of taking over the world or robots that became so proficient, there was no real meaning in life for humans. Today, many of those adults could pause and take a look around and see that there is truly artificial intelligence everywhere. From the automated systems that run stop lights to cars that really are capable of being self-driving, it would seem that yesterday’s science fiction has become today’s reality. Humans are learning each day just how beneficial this type of intelligence can be. Artificial intelligence is not only changing traffic lights, commuting and homes worldwide, it is also changing the way companies do business. Systems that are automated have recently been shown to boost call center performance statistics and capabilities. In fact, a recent Gartner presentation predicted that by the year 2020, non-voice interactions in call centers will have risen to an unbelievable 85%. Those contact centers that recognize how beneficial artificial intelligence can be lead the industry in both customer and agent satisfaction rates. Those that are still leery of technology and classify AI as something that should still belong in a science fiction movie often spend more on agent training and retention. They are also known for having a more volatile customer base as they are less able to meet the needs of their customers quickly or accurately enough. Today’s consumers have learned just how quickly they can accomplish things when they are allowed to do it themselves. Contact centers that understand the need for both artificial and human intelligence frequently offer easy-to-navigate self-service options combined with available live customer service agents. Such digital solutions can predict and recognize what customers need which creates a seamless experience. Understanding that artificial intelligence will never make the human element obsolete can help more call centers to implement this crucial technology. Effortless Customer Experience Driven by AI and HI Today’s customer is one that is willing to share details about their experiences with a company, whether they were good or bad. Perhaps this is why more than 70% of businesses say that their top priority is improving customer experience rates. This is most likely due to the fact that US companies today are said to lose over $60 billion every year due to subpar customer service. Companies benefiting from AI can dramatically improve customer satisfaction rates in the call center environment. Some of the ways include: Increased operational excellence Increased flexibility and versatility Improved business agility Human-centric interaction with machine-centric intelligence Ability to predict customer behavior 24/7 ability to meet customer needs Reduce operating costs Automation of calls coming into a contact center, when done correctly, can handle a large percentage of the incoming customer needs. Increased efficiency and other systems, such as speech recognition systems, also help to lighten the burden for call center management and staff. AI systems that are capable of speech recognition are frequently put into place today and can help relieve high call volume. Customers who call after normal business hours often benefit from this type of system. Though full call center capabilities may not be available, many customers find answers they need through an automated system. Even more advanced interactive voice response systems (IVR) help customers to get through menu options by using their voice instead of punching the right numbers repeatedly. Additional options that benefit from speech recognition technology include call routing, speech-to-text, and voice dialing. When used effectively, a blend of automation, artificial intelligence, and empathetic human agents can be the perfect solution for any call center environment. Many customers prefer being in control of system navigation while knowing that there is always a reliable agent available should the need arise. Such solutions help call centers to cut costs, improve overall customer experiences and increase efficiency rates. The Human Touch Will Always Make the Difference While there are call centers that have chosen to rely completely on artificial intelligence and technology and save money by hiring very few live agents, this is typically not a combination that builds customer loyalty. Instead, disenchanted customers work to find a company that they feel values their business. The human element in a call center lends reality, compassion and out-of-the-box solutions to a call center environment. None of which can be replicated by programs or machines. Conversely, AI systems are able to compile massive amounts of data, are not influenced by a customer’s emotion, and are not prone to glitches or mistakes. In order to provide customers with the best experience, companies must be willing to invest in the right combination of human and artificial intelligence. By moving technology and artificial intelligence from the realm of science fiction to the reality of today’s business world, call centers and customers alike will benefit greatly. This blog was first published on LinkedIn

3 Ways Call Center Quality Improves With Artificial Intelligence

The communication that occurs between customers and agents in your call center hold incredibly valuable information. There are many industry advancements that make it easier to collect insights captured by those calls or text-based chats, but Artificial intelligence (AI) is one that has proven incredibly valuable for the call center sector. AI is an especially powerful tool regarding improving and maintaining quality levels in your customer interactions. It Lets You Monitor How Agents Handle Customer Queries Quality monitoring is crucial for the success of a call center, and using Artificial Intelligence to monitor the effectiveness of your customer relations can lead to better results than ever. With AI you are able to record and transcribe every call that comes in, and analyze what was said in the interaction. As a result, you can evaluate how agents deal with various types of questions and ensure they’re following best practices. If they aren’t, it’s easy to provide specific constructive feedback and keep quality levels high. It Detects Useful Business Patterns A powerful asset of artificial intelligence is automated quality monitoring. This gives you the ability to track trends in your customer feedback. For example, after launching a new login portal for a website, calls from users who don’t understand how to access their accounts might go up by an estimated 25%. That’s a shift worth your attention, but you might not notice the severity of the issue without an intelligent call center solution that includes automated quality monitoring. AI is able to report to you on the data that most needs your attention. Some interfaces allow you to look at history-related metrics. These break down the total number of calls received over a chosen time period, by analyzing data and discovering the most common topics. If metrics show that over the last two weeks a higher than average number of callers were highly satisfied and said they had come to your company after leaving a competitor, then your recent practices are worth continuing. Based on the knowledge gained from captured data, you can then determine whether there are problems that need to be fixed. The information also confirms if the business techniques you’re using are working as intended. It Helps You Stay Compliant Many call center managers have their staff members follow scripts. This approach ensures all customers get similar experiences and reduces your liability. Quality monitoring is an easy way to track this, and enjoy peace of mind, knowing for certain your team members are following the scripts as they’ve been trained to do. If necessary, you can intervene and give guidance to maintain compliant communications. Artificial Intelligence is the next step to managing your call center, and maintaining the level of success that your customers have come to expect. AI-derived knowledge from all your calls combines technology with a human touch. Consider investing in one soon. This blog is first published on LinkedIn.

How Artificial Intelligence Improves Contact Center Industry

Artificial intelligence, or AI, is the gold standard in call center quality monitoring, and for good reason. Today’s automated call center quality monitoring software is so seamless in its integration that efficiencies resulting from its use can be pressed into action quickly, fairly and effectively. Active call centers record billions of hours of customer interactions every year, and it is spectacular to consider reviewing every minute for quality assessment. AI brings the task not only into the realm of reality, but also into position as a transformational tool in improving operations, agent performance and customer satisfaction. The call centers need to understand the basic before implementing Artificial Intelligence. Let’s take a look at the benefits of working with Artificial Intelligence and the multiple advantages it brings to any operation in the call center that strives to offer the best quality assurance at every point in the customer-interaction process. AI Interaction in the Customer Service Experience One of the best aspects of AI is that it is fully customizable to call center’s needs. Not only does the software “learns” and improves over time, but as in-house processes evolves, AI can be adjusted to augment the quality monitoring standards quickly and effectively. That said, it is vital that each company assess its needs and desires before investing in AI so that it achieves the most efficient fit. Here are some of the aspects to be considered when weighing whether to take the leap into AI quality assurance software: The people factor No computer can show human emotion, which is conceived as the major downside of AI when used in a call center. Companies don’t want their customers to feel as if they are not being heard, especially when they are frustrated or upset, because an automated system cannot properly assess and respond to human emotion. However, AI benefits the call center agents to understand the upset points where the customers want special attention. This can help the call center agents to include sympathetic words to solve the issue which the customer is facing. In addition, AI benefits the call center employees to handle some of the upset callers when a problem gets too emotional. “AI Technology Combined With Conventional People Skills Can Deliver A Seamless Customer Experience By Balance Customer Interactions With Empathy” Departmental universality Customer service is a chief concern in every aspect of working with patrons. AI can be programmed to anticipate people needs in the case of an emergency and begin the process before the person can even sort out how to respond. Plus, AI can inform customers of possible solutions and products immediately, which demonstrate a level of urgency and personalization that will help retain customers with monthly subscriptions. Resolution-based self-service Self-service is a tricky tool, and it doesn’t take much for callers to get frustrated with a dizzying path they don’t feel is solving their problem. But from a company’s standpoint, automated self-service is a vital tool for maximizing work done by people. When AI enters the picture, customers—especially high-value clients—can get personalized responses with language that doesn’t sound “canned” or rote. In addition, AI software is able to decide when a caller requires a personal touch, at which point it connects the caller to a live agent. AI can also read triggers that indicate a customer is a high-value client and make sure that caller is treated accordingly. All of these measures help ensure a positive customer service experience. Benefits of Automated Call Center Quality Monitoring With these customer service efficiencies in mind, the next step in the Artificial Intelligence assessment process is to consider the benefits of integrating the software into call center quality monitoring. Of course, the most obvious benefit is efficiency. Each call center generates hundreds of thousands of recorded interactions each year. The only way to effectively evaluate all those calls is with software. Here are some of the upsides to AI in quality assurance: Objectivity When people are the ones doing the QA assessments, there will always be a risk that interactions are not being evaluated objectively. Using AI, there can be no bias based on a preference for certain agents or a dislike for others. Objectivity is built into the assessment software. Universality : Rather than selecting a small fraction of calls for evaluation by people quality monitoring agent, AI allows every single call to be monitored in a quick and efficient manner. Every agent’s interactions can be evaluated, which means the leaders get a full picture of agents’ work and are prepared. Immediacy Because all calls are screened quickly, trends–both negative and positive–can be discovered quickly and adjustments can be made in an efficient manner. There is no rush in the leader’s ability to implement a correction or new innovation that helps boost customer satisfaction levels. Performance As a result of the three benefits above, agent performance is much more likely to improve quickly. Timely, accurate quality assurance evaluations can indicate which agents need additional training. The overall agent performance helps the leaders understand better which agent’s performance can limit the delivery of effortless customer experience. Of course, there is no AI software, to this point, that can run without the benefit of people’s insight and interaction. It is the combination of people and Artificial Intelligence that produces the most complete data, intelligent insights, and helpful recommendations. With the automated functions in the call center, it is imperative to have people to monitor the transactions for quality services. The people make the whole AI functionality work to offer exceptional customer experience to the customers. Customers have always wanted seamless and effortless form of responses for their issues. According to Forrester’s report of 2014, understanding customer emotion and empathy are the most critical components to gain successful customer experience. Here, to touch the heart of the customer services being delivered, human touch is required. When you have both, your investment in AI software can facilitate a marked improvement in agent

Stop Guessing and Start Acting With Artificial Intelligence

It seems that more and more everyday processes and jobs are starting to include a measure of automation, where there’s less for flesh-and-blood humans to do a specific task to be completed. That’s most certainly become apparent when it comes to call centers. With that in mind, you should know there’s much to be gained when you harness the power of AI and people rather than let it become a source of anxiety. Specifically, it’s your quality monitoring solution that can become better and more efficient than you’ve ever imagined when coupled with modern AI capabilities. Make the Most of the Data You Already Have on Hand What’s the use of having mountains of data if you aren’t sure of how to put it to good use? Thankfully, AI can help call center managers make sense of all the data they have at their disposal, making it easier for managers and their call center teams to know how to take the best care of their customers and their individual needs. Some specific ways AI organizes big data is helping call centers better deal with a variety of customers, better-anticipating customer pain points, making solid predictions and finding new opportunities for you and your agents. Now all the data you have on hand is becoming useful rather than just taking up space. Following are four ways in which AI has reshaped the customer (and representative) experience with quality monitoring. 1. Better Representative Satisfaction While it’s good to use the same method to onboard all your new call center representatives, it’s even better to onboard them with new methods that can make them better at their jobs and feel confident while helping callers. Better training is one advantage of implementing AI with your current call center capabilities. In addition to training new employees, AI is also great for your current and more experienced representatives. For instance, AI can use voice analytics to show your agents areas of improvement depending on their overall delivery, use of your call center script and use of phrases and sentence structure. This way, you can step into a situation in real time before things start to unravel and you run the risk of losing a customer or your agent having a negative interaction. With AI doing more of the heavy and complex lifting, you and your quality assurance team have time and resources freed up for other professional pursuits. This means you can take care of projects and tasks that have been pushed to the curb because you were consumed with analyzing calls and customers interactions for ways you could make your call center better and your agents more capable at their jobs. Your QA team is sure to appreciate this, as it means working on something new, which might be just the thing they need to keep from feeling bored, unmotivated or generally unsatisfied in the workplace. When it comes to quality monitoring, you’ve got to think just as much about the quality your call center representatives enjoy as you do the overall quality your target audience enjoys. Besides, your call center workforce plays a monumental part in the overall satisfaction of your customers. Going back to the point about employee satisfaction touched on above, the insight and information AI provides for your agents allows them to perform their jobs better, which is sure to maximize their overall satisfaction, which benefits everyone involved. More satisfied agents equals happier agents equals better performance. It’s a never-ending cycle of positive results, so make sure you’re doing your part to keep the good times going long and strong. 2. A More Efficient Experience for Everyone Something else to keep in mind with it comes to AI and quality monitoring solutions is the fact that AI can eliminate a lot of the riffraff that keeps customers from having the best customer experience. This means fewer useless menus for shoppers and customers to work through to obtain answers or useful information. AI can also keep an eye on what individual customers search for to better anticipate their needs and questions, saving everyone time and energy. After your agents have worked at your call center for a while, they become used to certain questions and customer interactions. Rather than having your representatives handle “ground-level” customer interactions, which might not be the best use of their time and skills, you can instead have chatbots tackle the task. What’s so great about AI is that it learns on the go, allowing it to become more intelligent and capable over time, which benefits you just as much as the customer. Just like with your QA department, this allows your representatives more time for other projects and professional pursuits. And just like with your QA department, this freedom can lead to better job satisfaction without your overall quality taking a hit. 3. More Satisfied Customers There are times when customers won’t always come forward with a problem or voice their concerns, choosing to instead let the situation, and the opportunity it presents, fall to the curb because they feel it’s not important. This sometimes happens because customers know yours isn’t the only company specializing in your specific services or products. Rather than let shoppers silently abandon your business, AI can instead give you a concrete idea of just how pleased your customers are with your company using the same voice analytic software used to help your call center representatives become more adept at their jobs. This information gives you the opportunity to address unspoken grievances or annoyances and keep your current customers right where they are rather than letting them go to your competition and wonder why. While AI is combing through all that big data, it can also provide you with detailed information regarding your customers’ shopping patterns and preferences. This is possible by studying individual browsing patterns, what the customer has bought in the past and which specific pages the customer has visited before. This means you have targeted marketing and advertising opportunities

Artificial Intelligence: Behind-the-scenes tool to improve Customer Experience

Since its initiation, Artificial intelligence (AI) has grown by leaps and bounds. From getting used to simply gather information and predict effects, it’s now being utilized by companies as a major technology to create present day solutions throughout a variety of services. There has been a consistent increment in the amount of ‘Robots’ that can mimic cognitive services of the human mind, corresponding to situation-solving and responding to normal languages. Powered by developed Artificial Intelligence (AI), these machines at the moment are going prevalent. To meet up with the technologically-driven industry landscape, ultra-modern corporations are looking to leverage them into more than a few productive roles, specifically to handle the customers’ queries. The large amount of data we generate is a compounds blessing. It offers us better insight into human habits, but it’s additionally a lot more stuff to sort. For assisting us sort through our data, and make best use of it, we’ll turn to AI (artificial intelligence) for things as challenging as navigating the call center to simply deciding what the doggone temperature is outside. Artificial intelligence in the call center has become much more important in the last few years, leveraging tremendous data sets and predictive analytics for computerized, personalized customer service and on-demand agent coaching based on reporting. However, with great power comes great responsibility. Leverage user models to create an extraordinary customer experience User models, analysed from customer metric data, provide a detailed window into the service you render. These models can be utilized to create private experiences for customers of a call center. First, call centers have to accumulate this information through an analytics tool. Development teams can send consumer habits data from Mixpanel through an API. As soon as information has been gathered, the data can be fed to an algorithm to discern patterns depending on time-of-day, rate-of-rise/decline, or how the information correlates with other behaviours on the platform. The output of the algorithms can additionally loop back into how pages are provided to customers. A call center could improve customer experience by means of analysing what questions and response customers give simply before they come to a decision. Artificial Intelligence streamlines the process Customer Interaction simply entails making knowledge available to customers at their fingertips without asking them to move through hoops or several steps. We base it on what we already know about customers, and just like that! They get the super-targeted info. Actually, it is just making information available to customers in new approaches, lowering the hurdles that customers have to go through to get to the information. It can be as easy as what we learn from you, but additionally the trends that we get from other buyers like you. This exponentially improves customer experience. Artificial Intelligence for Customer Interactions Artificial intelligence is an amazing tool, and it’s going to evolve with time. Nevertheless, exclusively relying on AI to manage crucial sections of a call center, like customer interactions, could spell catastrophe. With the advance of channels that create connectivity and openness, customers are important to call centers stability and thus must be handled as such. Call centers can’t afford to make errors when interacting with them. In order to avert customer frustration as a result of lack of ability to resolve a setback efficiently in a customer’s channel of alternative, automatic processes must consistently exist in collaboration with human interaction. Customers are far too valuable to be handled alone by totally automated systems. Let’s face it; even some people have a tough time interacting with other humans well, typically due to a lack of emotional intelligence. Due to all those reasons, it will be irrational to anticipate an artificial intelligence system to execute and handle a customer interaction at a 100% satisfaction phases. However, with continuous advancement on this area and with suitable utilization, AI could aid call centers enhance their relationship with customers and take it to a higher level. I’m certain that as millennials strive for intelligent self-service and call centers seek automation, AI will continue to create a buzz in scientific circles in the future years. Personalised strategies The intention of the continuous study in Artificial Intelligence is to incorporate the advanced aspects like reasoning, conversation, perception and the ability to move and manipulate objects. When consumers can communicate with those intelligent systems, the interactions would have a couple of different results. Utilizing the information amassed from such communications between their AI systems and customers, call centers can customize the customer experience for every user. A call center can use the data to investigate the unique perception of a user after which the results can be used to build personalised options around his/her preferences. When promoted with right illustration, the customer tends to go for them and it might also help the call center increase its customer experience. AI-assisted Speech Recognition AI-aided speech recognition helps enhance customer experience. Key phrases can be noticed to set off service enhancements. The word “supervisor,” for example, would alert a supervisor to join a call and alleviate any problems with a customer. Systems can also be programmed to pay attention for competitor mentions. Financial institutions are experiencing same growth. Take a customer who typically calls the bank every Fridays to know her account balance. Utilizing AI, the bank possesses the intelligence to send the customer an automated message with her bank balance before the customer picks up the cellphone. By spotting behaviours and interaction patterns, a call center can decide upon the best channel for relating with customers. Not every customer requires a prolonged and private telephone call. Contacting via email or leaving an automated voicemail can be just as efficient in terms of customer satisfaction and is way less expensive than a live agent telephone call. It merely requires a figuring out of what each client prefers based on gathered data and demographics.

Artificial Intelligence: A Boon to Improve Customer Experience

Artificial intelligence has been around for a while, and while some wholeheartedly embrace the idea, others are wary of using what is portrayed to be a “robot” in any customer experience. When many think of AI, they think of conversationalist robots, while the truth is that AI has evolved into software programs that can be seamlessly integrated into current programs and become a huge asset to their human colleagues. AI is more than just a programmed bot that can answer the same questions that are included on a company’s FAQ page, and actually has many valuable applications in the business world and more specifically, in the form of customer support. Once companies understand the basics behind artificial intelligence and the benefits of speech analytics, the investment is more attractive and practical to improve customer service in all areas. Why Is Customer Service Important? All companies recognize that good customer service is essential to staying in business, building a brand and gaining the trust of consumers that love your products and services, but many fail to understand WHY customer service is so important. It’s just an assumed fact, but doing the research into why it is so important can help us better understand how artificial intelligence and quality monitoring with speech analytics can improve the experience. Estimates suggest that poor customer service may cost companies in the United States up to 41 billion dollars in revenue each year. AI is intended as a solution to that problem and to give your business the cutting edge to stay ahead of the competition and to cut that revenue loss as much as possible. Studies show that almost 90% of customers become frustrated when they have to repeat their problems and issues to more than one representative. This number highlights the fact that good customer service is more than a bonus for your business. It’s a necessity. A poll completed in 2015 of over 2,000 adults in the United States showed that customers are willing to pay more for a product or service when the customer service experience is pleasant. Close to 86% of them said bad customer service encourages them to switch brands. This shows that good service is vital to consumers, and getting an edge on your competition with better service builds trust in your brand and products. Companies often struggle to find the line between being more efficient at answering calls and resolving problems and keeping customers happy. Consumer issues can take up quite a bit of time for an agent even as the company is pushing for faster resolutions that encourage agents to get off the call as quickly as possible. At the end of the day, your customers need to feel as if their opinions are the most valued thing in your company, and artificial intelligence can help. AI provides faster results and resolutions to issues that commonly plague customers. It can improve the efficiency of employees, create better outcomes customized to fit any client’s problem, reduce call center costs and perform large tasks that would be impossible for a human to complete in the same amount of time. AI is important for more than just chat, and can create a positive experience for every customer that works with your company. To put it in perspective, realize that most Americans currently use some form of artificial intelligence in their everyday lives. With smartphones and tablets, most turn to assistants like Cortana and Siri to get directions, ask questions and resolve problems. As AI becomes more integrated into our day to day lives, experts expect that in a short five years, customers will only interact with a human from a company 15% of the time. The other 85% of the experience will be done with some form of artificial intelligence. Recent Experiences With AI Developers work tirelessly to create an AI system that works with every company in a convenient way, with the ultimate goal being to make life and work easier for everyone. Examples of using AI include Google, who improved their voice recognition technology from 84% to 98% in just two years. IBM’s Watson was released in 2011, and is now 2400% smarter than it was at its release date. Tens of millions of online searches are done each month through voice recognition systems. Every advancement brings AI closer to being profitable and applicable to businesses of all sizes. Some companies have already invested in the technology and reaping the rewards for doing so. Digital Genius: Mikhail Naumov, the chief strategy officer of Digital Genius, says that the company better automates their chat software with a deep learning algorithm. This has been done in two different ways. Historical chats – AI systems are better trained with the help of historical chat logs. Benefits include more accurate responses and more time for customer service agents to handle complex issues that an AI is unable to solve. Naumov believes that because customer service is so repetitive, historical transcripts hold goldmines that are underused. Fact data – The nature of the industry Digital Genius functions in has solid parameters regarding the amount of solutions for a set amount of problems. This makes AI programs much easier for this type of business, rather than business development or marketing, where there are many paths and possibilities that lead to solutions. Inbenta – Inbenta approached AI from the direction that customer service questions come when customers can’t find answers to important questions on a website. Search engines can be mildly misleading and send the customer to a page with no valid information for them. This turns into a phone call to a customer service representative that takes up time and valuable resources. Natural language – To deal with this issue, the company developed “Natural Language Processing” that is a form of AI that focuses more on what the customers means in a query rather than exactly what they type. Bulk email response – Inbenta has also solved the problem of excessive emails that

Four Things to Know Before Merging AI to CX

Before you make the switch to utilizing bots which can be more cost effective and less frustrating to deal with, it is vital to keep in mind that they are a means to an end. Implementing them into your current strategy can be advantageous, but keep the following things in mind before merging artificial intelligence in customer service to CX. Not all customers will be satisfied One thing to keep in mind is that introducing bots into your strategy is not for everyone. It is true that now is the time for implementation and some people are open to the idea of dealing with bots, however, not all people are not convinced. Some prefer to deal with humans and will not be satisfied solely communicating with robots. Keep in mind also that despite your belief that the customers will not be able to tell, this is not true and it is wise to have a human being ready to take over for a customer who is frustrated with a robot. It is crucial to script your bot correctly If the bots are not set up properly, the customers will more likely become frustrated. Bots run mainly on scripts because they are not as sophisticated as Al-driven machines. If the script of a bot takes a customer astray, they will become even more frustrated and this can have detrimental effects on your business and reputation. In some cases, customers may even start to migrate to alternative companies and spread the work that their experience on the phone was frustrating. Bots are an agent’s best friend When a bot is capable of taking care of part of the call such as confirming an order or resetting a password, this helps avoid wasting the agents time and keeps them available to answer more specific customer questions or concerns. Bots are not able to provide care to customers Despite common beliefs, it is not possible to form relationships with bots and customers may miss the experience of connecting with a human being on the phone. When there is only one person, the emotional element of the conversation is missing and this can affect the customer’s overall experience. It is undeniable that people appreciate the value of human interactions. Carefully implementing bots into your current strategy can be beneficial to both your profits and the company as a whole. It is important to keep in mind, however, that the value of human interactions is priceless and delivering a high quality customer experience should be a top priority.

Artificial Intelligence

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