AI

Infusing Digital CX With Human Intelligence

In today’s contact centers, there are plenty of avenues for using technology to provide a great customer experience. How can we make sure to maintain a personal touch? In the live Virtual Conference webcast, Dave Hoekstra from Calabrio demonstrated how to infuse digital CX with human intelligence to create a meaningful customer experience for not only your customers, but for your agents as well.

In today’s contact centers, we are constantly hearing the terms “AI” and “machine learning”. What does all of that mean? Really, we are talking about the ability for machines to display human-like intelligence; a concept that CX has fully embraced in recent years. Years ago, customer service was strictly face-to-face. Over time, the customer experience has evolved into omnichannel experiences for the customer such as e-mail, chat boxes, and SMS messaging. In 2020, IoT data will grow at 50 times the rate of other data. CX must keep up with this trend, however, it is vital to maintain humanity in these exchanges.

Customer expectations for CX are increasingly rising, demanding instant responses, personalized services, and omnichannel experience. With these rising expectations, maintaining customer loyalty is more complicated than ever.

The problem is that most businesses don’t know what their customers want. Why? Because they are simply not listening. Only one in four companies actively use their customer feedback, while only one in three actively use their customer interaction analytics. Ninety-eight percent of invaluable customer intelligence is sitting on the shelf. Businesses must turn this information into actionable intelligence to push them toward their goals.

Here is what we know: customers prefer human contact. Eighty-six percent of customers claim they prefer human contact to chat bots. Seventy-one percent of customers said they would be less likely to use a brand if it didn’t have customer service representatives available. While many believe phone contact is dying, calls to businesses are expected to exceed 169 billion per year by 2020. In response, businesses must humanize their customer relationship.

As previously mentioned, businesses are sitting on a goldmine of information. Using sentiment analysis, businesses can take information such as recordings from phone calls to identify human emotion in order to really understand what is going on in the day-to-day processing of our customers.

Another focus area is employee and agent empowerment. By empowering human intelligence in the contact center, businesses can drive an agent-centric approach while giving their employees the flexibility and balance they need. The integration of AI in this equation provides a personal assistant to your employees rather than taking their place. Thus, improving work-life balance, allowing for flexible planning and scheduling, and happier agents. That’s the key: happy agents lead to happy customers.

AI Assistance may also improve training and development. This can include VoC (Voice of the Customer) training, automated quality monitoring, a more intelligent way to schedule training opportunities, and cross-functional job training. Businesses are still living in an environment where operations are siloed because agents’ skills are very specific. Enter: training across job functions. Here, businesses can get ahead of the curve by recognizing where their employees’ strengths and weaknesses are before they are out in the field.

All of this leads to more empowered employees. Employees that are more engaged are:

  • 8.5x more likely to stay than leave within the year.
  • 4x more likely to stay than dissatisfied colleagues
  • 3.3x more likely to feel empowered to resolve customer issues

It’s time to hear your customers out. First. audit your technology stack. Take a look at all of the different ways your customers can get in touch with you and figure out what works best. Second, tap into the conversation to gain a comprehensive view of the customer. Finally, focus on your people. Customers matter but so do your agents. It’s time for companies to focus on the people who are engaging customers on a day to day basis. CLICK HERE TO WATCH THE WEBCAST

 

AI-Driven Modeling to Improve the Agent and Customer Experience

Are traditional analytics and contact center practices enough to drive customer satisfaction? During this live Virtual Conference webcast, Larry Skowronek and Michelle Carlson from NICE Nexidia lead a conversation about how AI-driven data modeling can be the key to achieving greater success. To further explain, Larry and Michelle walk through the state of analytics today, an overview of sentiment analytics, an overview of predictive behavioral routing, and how to combine sentiment and predictive behavioral routing to maximize customer satisfaction and drive progress.

Today, we generally see a large disconnect between business and how they evaluate customer interactions. Eighty percent of companies claim they deliver “superior” customer service, while in reality, only eight percent of their customers actually agree. This is partially because the state of measuring customer satisfaction is deeply flawed. Manual reviews of calls that require a human to evaluate transactions lead to highly subjective, interpretive, and inconsistent feedback, which not only requires higher costs, but also fails to move the needle forward.

Customer contact centers are a dynamic and evolving animal. The only way to respond to change is with change. Enter: Sentiment Analytics. Sentiment Analytics is a way to use machine learning to train a model that measures whether our customer interaction was positive, negative, or neutral on a granular scale. The machine can take our otherwise subjective behaviors and turn them into subjective data that is highly valuable and actionable. This data is consistent, accurate, and without bias. Most importantly, because it is a machine, it can do as much work as we throw at it, so we can receive and analyze data for every single customer interaction.

This AI-based model has proven to be statistically accurate, according to several CX centers that use it. But how exactly does this model measure customer satisfaction. The model reliably measures every interaction, including:

  • Spoken words, like “Awesome”, “I’m annoyed”, and “This is ridiculous”.
  • Laughter detection.
  • Pitch and tone.
  • Cross talk: customer and agent interrupting one another.

These models may also differentiate calls that start positively and end negatively, indicating worst practices, as well as calls that start negatively and end positively, indicating best practices. The reliability and accuracy of these models have allowed businesses to gain deep insights on the overall customer experience and quickly translate those insights into action. Finally, these models create a hyper-personalized customer experience. This is a monumental advantage, as eighty-four percent of customers say that personalized customer experiences are key to winning their business.

For a perfectly personalized customer experience, sentiment models can aid in Predictive Behavioral Routing (PBR), which uses sentiment analytics to match the customer to the appropriate agent and therefore improves the overall customer experience. By bringing Sentiment Analytics and PBR together, businesses can seamlessly operationale their sentiment data by:

  • Calculating customer sentiment on 100% of interactions
  • Using this sentiment combined with personality, make the best connection for the customer.
  • Immediately improve customer experience with AI-powered routing.

So, what does this process look like in real time? In one example, a Fortune 500 company’s customers were initially being transferred all over the contact center. They then optimized their customer calls based on sentiment dada. Here’s what happened:

  • They saw a 15% decrease in negative sentiment on PBR (predictive behavioral routing) routed calls.
  • They saw a 13% increase in positive sentiment on PBR routed calls
  • They saw a 6.4% decrease in average handle time in PBR routed calls
  • This required 0 hours of coaching, training and employee change management.

The combination of sentiment and behavioral routing will improve customer satisfaction metrics, reduce costs for manual listening and surveys, improve customer satisfaction via targeted coaching and performance management, and increase employee satisfaction. Your analytics practices are valuable, but should be evolving to keep up with dynamic consumer expectations. Your employees and customers alike will thank you for it.

To listen to the full webcast click here: https://bit.ly/2ULJgPB

Biometric Authentication and AI Technology: How Companies are Keeping Customers Satisfied and Safe from Fraud

With the constantly increasing need for customer service and sales support, contact center operations continue to expand, generating over $300 billion in revenue each year according to JLL Research. Given the vast amount of sensitive data that flows through contact center environments, security -including insidious insider threats – has become a serious concern. According to a recent report by UK-based Contact-Centres, the rate of contact center fraud has gone up dramatically over the past four years, increasing by 350 percent. This has created what Gartner calls “an epicenter of vulnerability.”

In the US, as many as 1,300 breaches were tracked last year by the Identity Theft Resource Centre1. Fraud perpetrators are becoming more sophisticated, leveraging today’s omnichannel shopping techniques. For example, a fraudster can employ social engineering to reset a password on a victim’s account, using information now easily found via social networks and Google searches to obtain usernames, passwords, and other personal data. Criminals then employ that newly reset password to hoodwink a live agent into giving away additional information and sometimes even performing fraudulent financial transactions.

For contact centers, finding effective methods of tackling this daunting challenge calls for a multi-faceted approach, including ways to prevent attacks emanating from both outside and inside the company. That means identifying dishonest individuals who call in masquerading as legitimate customers, or try to hack into contact center data, as well as keeping dishonest agents from stealing customer information. The caveat is that contact centers need to implement such security measures without creating barriers to a positive customer experience for honest consumers.

One method now coming into widespread use is biometric authentication to verify customer identity. Some solution providers offer tools that support self-service interactive voice response (IVR) via voice and face recognition and when the customer is using a smartphone, can even support fingerprint authentication. Others offer voice biometric identity verification which relies on more than simply the physical characteristics of a voiceprint when authenticating end users. An advanced voice biometrics engine can also account for how a user speaks and what is said. taking note of variations in the pitch and tone of a customer’s voice.

So, how can forward-thinking organizations take the right measures to adapt to this new reality and protect their customers from fraud without negatively impacting satisfaction ratings? On Tuesday, December 10 at 2:00 pm ET, CrmXchange is offering an complimentary, in-depth webcast entitled “The Biometrics Win-Win – How Leading Brands Are Beating Fraud While Improving CX.”

The session is sponsored by Nuance, named a leader in Conversational AI for Customer Service, including voice and speech engines, human/AI blending, omni‑channel delivery and security and authentication in the in Q2 2019 Forrester New Wave. The presenters are established authorities on improving contact center security: Simon Marchand, Nuance’s Chief Fraud Prevention Officer, and Dima Cichi, Senior Principal Product Manager, Security and Biometrics for Nuance. Among the topics addressed will be:

  • How the fraud battle lines are shifting and why AI tech can help win the fight in the contact center and beyond
  • Enabling stronger authentication to co-exist happily with exceptional customer experience
  • A first-hand look at how combining voice, behavioral and other biometric modalities deliver a powerful cross-channel defense
  • An examination of the latest Nuance innovations for authentication and fraud detection
  • The benefits both large and small organizations are realizing from faster, stronger authentication and real-time fraud detection

Register now for this eye-opening session: if you can’t attend the live presentation on December 10, it will be available for download 24 hours after it is completed.

 

What New Paths Will Companies Take to Shape the Customer Journey in the Years to Come?

As the time-honored adage puts it, ‘a journey of 1000 miles begins with a single step.’ These days, the journey a customer takes when engaging with a company may be far more geographically limited but usually starts with a lot more steps. The ever-evolving customer journey incorporates varying interactions and experiences that take place on different touchpoints: a website visit for research, a call with a sales rep or chat with an agent, a conversation on social media or online review site, an inbound call, and even an in-store retail encounter.

It has become more important than ever for a business to take advantage of every possible resource to understand its customers: their wants, needs, and expectations, their thoughts and opinions and feedback and expectations. Building this knowledge will enable companies to deliver the highly personalized customer experiences that are becoming more crucial all the time in an increasingly competitive marketplace where consumers are offered a constantly growing array of options.

Given access to vast resources of data and technology, the customer journey today has morphed dramatically from where it was even five or ten years ago. And every company’s success depends upon combining the right technologies with the agility needed to effectively manage all the interactions that take place on every channel along the way.

Gazing into the future, which often-predicted developments will come to pass? Will the migration to the cloud finally encompass all businesses and make service more responsive? Will messaging ultimately surpass voice as the communication channel that is most compelling for businesses and consumers alike? Will digital transformation extend its reach deeper into the contact center environment to better leverage profile data, more closely examine customer feedback, and measure sentiment? Will customers expect greater availability of agent support that involves the use of screenshots, photos and video? And how will the growing use of AI-powered solutions progress, both in terms of those that provide more effective self-service options and those that support the development of more highly specialized agents?

Of course, no one can foresee every possible path the customer journey will take in the coming years, but CX and contact center executives and managers have an opportunity to get a cogent vision of many of the most important changes in an upcoming complimentary roundtable webcast on CrmXchange. On Thursday, December 5, at 1:00PM ET, NICE Nexidia and RingCentral will team up to explore “Smooth Customer Journey- Predictions for 2020 and Beyond.

Ken Brisco, Senior Product Marketing Manager, NICE Nexidia, who is responsible for establishing the scope and message as well as the competitive advantages of NICE’s Customer Journey Optimization Solutions within the CX space will be joined by RingCentral’s John Finch, AVP PMM, Customer Engagement, an executive with an extensive background in developing strategy for global customer engagement. Among the topics they will cover are:

  • How AI-driven analytics can boost customer loyalty and retention
  • The importance of measuring quality across all channels
  • In what ways bots are best able to collaborate with humans
  • How macro to micro-level journey analysis drives deeper insights into customer engagement

Register now for this insightful look into which near-future developments may change the way your organization helps to orchestrate the customer experience. If you are unable to attend on December 5, you can access the recorded version approximately 24 hours after the live presentation.

 

Melding AI and Virtual Assistants with Humans: The Right Formula for a Superior Customer Experience

By now, just about all of us have encountered an automated system when reaching out to a contact center. According to research cited in a 2017 IBM Watson blog, by 2020, 85% of all customer interactions will be handled without a human agent. Sometimes, such systems work flawlessly: the bot or virtual assistant (VA) understands customers responses easily and the conversation progresses smoothly as they either get the information they expected or complete the process they hoped to finish. In some cases, customers may not even be sure they are interacting with an automated entity.

But while AI continues to provide increasingly beneficial results in the contact center environment and to grow in its capabilities to emulate human behavior, it is not yet the be-all, end-all technology that can resolve every issue. In some instances, the AI system simply can’t process the information that customers supply, leaving them ensnared in a loop of repetitive responses….and the resultant frustration can have immediate and serious consequences. NICE inContact’s 2018 CX Transformation Benchmark, revealed that only 33% of consumers found that chatbots and VAs consistently made it easier to get their issues resolved.

This is precisely why it’s critical to ensure that empathetic human intervention is readily available.

When the human touch is needed, it must be prompt, proactive, professional and above all, responsive to the customer’s needs. While many contact centers are increasing their reliance on AI solutions to reduce headcount and deliver rapid ROI on their technology expenditure, they are also learning that not having enough caring flesh-and-blood agents ready to complement their electronic counterparts can result in diminished loyalty and customer churn. Establishing the right balance between an effective, continuously updated AI program and humans who can seamlessly step in at just the right moment is a necessity in an environment where customer satisfaction has become the most significant business differentiator.

Having the capacity to train an AI system to determine the exact point in a conversation on any touch point where the customer needs to be handed off to a live agent is the most important factor in the process. Analytics plays a key role: data gathered within each individual interaction can provide a treasure trove of relevant information enabling managers to better understand what sets a customer on edge, what makes them feel more comfortable in a conversation that is not going well and what can ultimately drive them to take their business elsewhere. Having the right intelligence readily available also enables management to also pinpoint necessary adjustments in policy, procedure or verbiage.

Of course, as AI increases in intelligence through machine learning, it can also provide additional value-added suggestions such as which department is best equipped to assist customers based on analysis of their specific needs. Leading-edge AI solutions can pair such customers with an individual agent with the right skill set to guide them to successful resolution of their issue.

Companies investigating either implementing or upgrading an AI customer service solution need to develop a strategy that offers optimal potential to enhance customer relationships and improve the quality of interactions on all touch points. In addition, they must explore ways to strengthen collaboration between self-service entities and live agents.

On Thursday, October 3rd at 1:00 PM ET, CrmXchange will present a Best Practices Roundtable on Seamless Customer Experience: Combining AI VA with Live Agents, featuring experts from leading solution providers NICE inContact and Verint. Among the topics discussed will be:

  • Current AI adoption trends: how to get the most of early AI investments
  • How is AI impacting customer service today and what’s ahead in the future?
  • Where AI can add the greatest benefits
  • How to define and implement the right mix of automation and human touch—without damaging consumer trust and undermining relationships in the process of digitization.

This informative roundtable webcast is complimentary and those unable to attend it live can download it approximately 24 hours after it is completed. Register now

It’s So Random: Changing the Culture of ‘Who’s Up Next’ with Intelligent Call Routing

With comprehensive information at everyone’s fingertips, few people now book a hotel room in a far-off location, make a reservation in an unfamiliar restaurant or hire an unknown contractor without carefully reviewing all relevant feedback. For the most part, businesses are even more cautious about making moves, industriously uncovering everything about prospective employees during the hiring process, and thoroughly investigating every angle of any potential partnership, investment strategy or technology purchase.

Yet, with all the rich data resources available to them, most organizations leave one crucial business process almost entirely to chance: which front-line representative takes the lead in customer interactions. Startlingly, 95 – 99% of companies still randomly route customer calls to the next available agent. Of course, it doesn’t have to be that way. Intelligent routing systems—with the capability to identify the caller and the reason for the call to assign the customer to the agent best skilled to handle the specific inquiry— have been around for years and are constantly becoming more efficient and affordable.

Rather than adhering to the circuitous procedure of using interactive voice recording (IVR) to send the customer to the most appropriate department or to an initial operator who will forward the call, intelligent call routing totally streamlines the process. It taps directly into customer records to retrieve information about the caller based on previous interactions and instantly directs the call to whom it judges to be the most qualified agent to handle the issue. In making split-second routing determinations, such systems not only take into account an agent’s track record, training and skills, but also consider caller priority, long-term customer value and more. Sometimes, the best responder for a specific call may already be engaged in another ongoing conversation that started only a few minutes earlier. Depending on how long the caller may have to wait, how wait time impacts that individual’s satisfaction and the skill level of others available, intelligent call routing decides to either have the caller wait or assign them to the next best agent.

With the increasing volume of available data on customer history and improved knowledge of agent capabilities, the traditional legacy routing strategy is evolving to become more intelligent, personalized, and able to effect specific improvements in a company’s metrics. Integrations now enable the use of data gleaned from previous interactions to provide insight into a customer’s personality and behavioral characteristics. By applying this knowledge, companies can gauge their customer’s communication preferences–intelligent routing can go beyond calls, helping to shape better outcomes on email, chat or messaging channels– and deliver the optimal experience.

Learn how your company can use this vital and improving technology to both reduce customer effort and create more personalized connections. Listen to a complimentary webcast “How Intelligent Call Routing Can Deliver Business Results,” presented by NICE Nexidia.

70% of U.S. Employees Hold Positive View of Artificial Intelligence in the Workplace Today

Despite recent doom-and-gloom anecdotal reporting, a nationwide survey of 1,001 workers in the United States (U.S.) finds that 70% have an upbeat attitude toward new workplace technologies involving artificial intelligence (AI), such as chatbots, robots and augmented reality. Only 5% say they dislike new technology for putting their jobs at risk today. In fact, 32% of U.S. respondents feel AI will have a positive impact on their job in the next five years, increasing from 26% today. Just 19% of those surveyed express fear that AI/bots could swallow their jobs within the next decade.

These findings stem from new research by Genesys® (www.genesys.com) into the attitudes of employed Americans regarding the rising adoption of AI in the workplace. Genesys conducted an identical survey in six countries — the U.S., Germany, the United Kingdom, Japan, Australia, and New Zealand — for a total of 4,207 participants.

The picture isn’t all rosy, however. While 75% of Americans surveyed say they are “rarely” or “never” threatened by new technology at work, one quarter do feel unsettled by it. Happily, only 4% “always” feel threatened. This is fairly similar to respondents in Germany, the U.K., Australia, and New Zealand, but in Japan that figure jumps to 12%.

Is AI a Friend or Future “Frenemy”?

While 52% of U.S. workers surveyed say AI has not yet affected their jobs, that number falls to 29% when asked about a five-year timeframe, with expectations for an increase in both positive and negative effects. Part of the reason for the low percentage of AI’s current impact? It’s not as ubiquitous in the workplace as many people would believe. Among U.S. respondents, 68% say they are not yet using tools that leverage AI; surprisingly, there is not a noteworthy difference between large and small companies.

Survey results also shed light on AI’s influence on employee social interaction, ethics and upskilling, with worker attitudes varying according to age, company size, job status and job function. The overall impression? Employees have a generally positive view of technology now, but are less certain if technology enabled with AI will be their friendly co-worker in the future, or a “frenemy.”

“The survey findings substantiate a long-held Genesys belief that a blended approach to AI is best in customer contact centers as well as the workplace in general,” said Merijn te Booij, chief marketing officer for Genesys.

“Some jobs will evolve as human work combines with the capabilities of AI. The key for organizations adopting this intelligent technology is to help employees understand its potential to make their jobs more fulfilling by taking the mundane, easily automated tasks off their plates. This opens the door for more employees to apply skills AI just can’t replace – like creativity, leadership and empathy.”

Considering 27% of Americans say they simply cannot predict the impact of AI on their jobs five years down the road, and only half feel they have the skills to compete effectively, it’s increasingly important for companies to closely monitor the pace of AI adoption and employee training programs to address it.

A few additional U.S. findings related to overall attitudes toward AI include:

  • Two-thirds (66%) of the U.S. cohort say technology makes them more efficient in their jobs. This response is exactly the same across the three age ranges surveyed.
  • 8% of U.S. employees say they dislike new workplace technology such as AI and bots because it takes away their easy tasks.
  • More part-time U.S. employees (25%) fear AI will take their jobs within 10 years than do full-time workers (18%).
  • Surprisingly, exactly twice as many (26%) of the U.S. employees in the youngest cohort (ages 18-38) fear replacement by AI within the next decade as do their over-55 co-workers (13%).
  • Nearly 70% of U.S. employees trust their employers to use AI in an ethical way.

Survey Methodology and Participants

Within the U.S., a total of 1,001 adults completed the online survey in April. Respondents were evenly divided into three age ranges: 18-38, 39-54, 55-73, with women accounting for 65% and men 35%; less than 1% did not categorize by gender.

Approximately 80% of those surveyed have full-time employee status with the remaining 20% working part-time. Respondents came from seven categories of company sizes, with a total of 42% employed in companies of fewer than 250 employees.

While U.S. survey respondents work in a wide variety of industries, 77% fell into one of 11 functional job categories: Administrative, Assembly Line/Manufacturing, Customer Service/Retail, Doctor/Nurse/Caregiver, Education/Training, Finance/Accounting, Food Service, Human Resources, Marketing/Inside Sales, Media, and Driver/Transportation Provider. The remaining 23% fell into an “Other” job category.

For a copy of the full survey data, please contact genesys@sterlingpr.com

CX Transformation Benchmark Study from NICE inContact

The 2019 NICE inContact Customer Experience (CX) Transformation Benchmark gauges the changing attitudes of business contact center leaders and consumers in key areas of customer experience. The report compares global findings to the 2018 consumer wave of the study, and includes year-over-year findings for the US. Results reveal that businesses are confident in artificial intelligence’s (AI’s) role in delivering exceptional customer service experiences, but they overrate their own CX performance. Compared to consumers, businesses overreach when estimating their own net promoter scores (NPS), overrate their own CX success, and underperform when it comes to delivering seamless omnichannel experiences.

The results reveal that businesses are confident in artificial intelligence’s (AI’s) role in delivering exceptional customer service experiences, but they overrate their own CX performance. A few of the core findings from NICE inContact’s CX Transformation Benchmark include:

  1. Significantly more US businesses now offer automated assistants / chatbots online, at 54% compared to 44% the prior year.
  2. 63% of contact center leaders agree that chatbots and virtual assistants make it easier for consumers to get their issues resolved
  3. While 93% of businesses agree that consumers expect companies to provide a seamless experience when moving between channels, only 24% of businesses globally give themselves an excellent rating on allowing consumers to switch seamlessly between methods of communication.

To read more: http://get.niceincontact.com/Q219-CX-Transformation-Benchmark-Business-Wave.html

 

How Robotic Process Automation Makes Contact Centers More Efficient

Automation isn’t new. Technologies like Interactive Voice Response have been around for a long time. But while advancements like these have reduced costs for the contact center, they’ve also managed to annoy customers. In the case of IVR, callers often get stuck in menu loops or struggle with systems that don’t understand what they’re saying. Enter robotic process automation.

Robotic Process Automation and Artificial Intelligence

Contact centers are in the business of serving the customer, and in an effort to improve the customer experience, technologies are always emerging. Robotic process automation (RPA) is one of them, automating tasks and freeing up agents to personally handle complex issues. RPA uses Natural Language Processing, which is related to artificial intelligence, an even more advanced type of automation that can make human-like judgments about tasks.

Interactive Text Response for Customer Service

Interactive Text Response (ITR), more casually referred to as chatbots, goes hand-in-hand with the increasing popularity of messaging apps. Brands that want to improve the customer experience are making themselves available on chat – and it’s working. More than 70% of 1-800-Flowers’ chatbot orders come from first-time customers, and the company’s commitment to new tech has attracted tens of thousands of users. Chatbots are more effective than IVR because text input is easier for the system to understand than spoken language. AI can then be used to gain a deeper understanding of what the customer is saying, accounting for the different ways a customer may phrase a sentence or question.

Sample Phone Call with RPA

RPA can also be used with phone calls, not just chatbots. Here’s an example of how RPA can help with a live call:

  • Jane calls to speak with an agent.
  • Your RPA takes the call and authenticates Jane by confirming her account number and call-in PIN.
  • Your RPA analyzes Jane’s account and sees that she has an open ticket and that she’s just been on the website to look at the status.
  • Your RPA says something like, “I see that you have an open ticket with us. Is that the reason for your call?” Jane confirms that this is the reason for the call.
  • Jane is transferred to an appropriate live agent.

Contact center technology like RPA can help customers solve their issues more quickly, but it can also provide much-needed support to agents by making them more efficient.

5 Strategies for an Enhanced Customer Experience

Customers don’t hesitate to talk about a negative experience with a brand ­– they tell their friends and, more importantly, post critiques online for the rest of your customers to see. Even one bad experience can spoil a customer to a company forever. Customer experience has to be a top priority for contact centers in order to promote satisfaction and loyalty.

  1. Treat all interactions with the same care.

There isn’t one type of feedback that’s more important than another ­– they’re all valuable and important. If you’re going to have various communication paths set up – Twitter, email surveys, live chat – you need to be available and responsive on all of them with the same amount of attention. Otherwise, consider if that channel is important enough to keep.

  1. Invest in cognitive computing.

Cognitive computing technology takes natural language processing a step further ­– it can tell how a person is feeling by analyzing the sentiment behind what they’re saying. The agent can then adjust their responses in order to improve the customer’s mood to either neutral or happy before the call is over.

  1. Allow all employees to make decisions.

Unless there’s a legitimate reason why an employee can’t resolve a situation on their own, give your agents the power to make key decisions. For example, if discounts or refunds are usually offered to customers who meet certain criteria, allow your agents to present the offer without having to transfer the customer to a supervisor.

  1. Offer excellent advice for the individual customer.

If you have advice to give, give it! The customer experience is largely based on building relationships. Customers will trust you if you give them valuable advice even when it’s not directly promoting one of your products or services. Creating a loyal customer can be more important than getting another sale right this second.

  1. Make self-service obvious and easy.

You can build a solid relationship with a customer without speaking with them one-on-one. Remember, the company overall is developing the relationship; the relationship isn’t between the agent and the customer, necessarily. Many customers want the option of self-service. Knowing they can accomplish a task on their own can boost the sentiment they have for your company.

When you put customers at the center of your business goals, you’ll be in a better position to deliver the quality experiences they demand.