AI

4 Uses of AI in the Contact Center

Artificial intelligence (AI) has multiple uses across the modern contact center. While some people mistakenly believe that robots are going to replace live support agents, the truth is that AI in the contact center actually helps customer service agents perform their job better. Here’s how.

  1. Data capturing during customer interaction.

There’s a lot of data to be captured during every interaction. AI can be used to capture this data and then feed it into the contact center’s analytics system. With features like sentiment analysis, AI can also be used to spot certain emotions, like anger or dissatisfaction, which can then escalate the issue to be handled by a live agent.

  1. Management of customer data.

Capturing all of that customer data is just the first step to actually understanding it. Data has to be analyzed and leveraged in order to actually improve the customer experience. AI can help with this by capturing and cross-referencing data, then sharing it across different channels and platforms. This way, the customer won’t have to repeat their details every single time they contact customer service, and they won’t receive offers or messages that don’t truly relate to them.

  1. Smart replacement of IVR processes.

A contact center’s IVR system will have a set of pre-defined rules to follow. These rules are generally simplistic – for example, the IVR system may transfer a sales call to the sales department. AI can take this several steps further by using natural language processing and machine learning to understand customer statements instead of just giving them a set menu of choices.

  1. Directing customers to different areas of the website.

Many customer requests can be handled simply by pointing the customer to a specific area of the website. For example, a customer may be able to get information about their account or recent payment by viewing their account information, eliminating the need to speak with a live agent. Customers can also engage in self-service by finding the answer to their FAQ. A virtual assistant can direct the customer to the right section of the website, freeing up live agents to handle more pressing issues.

There’s always going to be a need for live, human interaction. In order for contact center agents to deliver the best, most personalized support possible, AI tackles easier-to-handle customer queries, speeding up the process on both ends.

5 Trends in the Customer Service Industry

Every year sees new changes to the customer service industry, and 2018 has been no different. This year, the focus has been on improving customer service in order to meet growing expectations. Here are 5 trends that are influencing the industry right now, and they’ll likely continue – and be built upon – in 2019.

  1. Chatbots are providing customer care.

According to IBM, by the year 2020 as much as 85% of customer interactions will not be handled by a human. For the contact center, this means making sure chatbots are providing a great experience for the customer – poor technology or chatbots that are used incorrectly can seriously impact your bottom line.

  1. Cloud-based customer service software is the norm.

Contact centers that rely on cloud-based solutions can have remote agents located around the world. This means that different time zones and extended hours can be covered, offering customer service practically any time and from anywhere. This software can give a complete history of customer interaction, including past communication and notes that agents make about a customer.

  1. Success of the team has become a priority.

If individuals can provide great service, then teams of excellent agents can do even more. Teammate success is now a priority and contact centers are investing more in educating and training their teams. One way of making customer service teams more successful is by hiring agile agents who can handle more than one type of job.

  1. Increased reliance on self-service.

Self-service has been trending for a long time, but now companies are taking self-service to the next level by personalizing it. For example, customers may be shown only certain self-service options based on the products or services they have. This means that customers can get quicker access to the information they need without having to weed through an entire knowledge base.

  1. Software will seamlessly integrate.

Contact center technology systems are a big expense and they carry out integral jobs, like analyzing data and storing all sorts of customer information. Since software is so essential to the contact center, it’s important for different software and tools to integrate with one another. We’ll continue to see software that’s specifically designed to work seamlessly with complementary software so that you can piece together the best system for your contact center.

Have you noticed trends in the customer service world? Tell us about them in the comments.

How AI Impacts the Future of Contact Center Agents

For the past few years, artificial intelligence (AI) has been a major topic in business. Right now, one of the best uses for AI algorithms is to process data and then make recommendations or predictions related to the customer. There are more advanced ways to employ AI too, though, many of which interact directly with the customer. By adding newer types of AI to the contact center, another question arises: what does this mean for live agent support?

Invisible vs. Visible AI

Much of AI runs in the background, making it invisible to customers. For example, AI can analyze history and trends to make customized recommendations. While customers may not know how, they certainly know that their experience is improving. Visible AI, on the other hand, interacts directly with the customer. An example of this is Siri for iOS, a digital assistant that you can interact with relatively naturally and without looking at your device.

The invisible types of AI have been around for a long time. They’re mature, and they effectively improve and streamline processes. Visible AI, though, isn’t nearly as mature. There’s more room for error, and since customers are dealing with it directly, problems need to be swiftly addressed by live agents.

AI Accuracy and Live Support

There’s often a question of how much AI will replace humans in the workplace. It’s unlikely that AI will ever be 100% accurate, which is why a live support team is still integral to the contact center. Any AI that’s customer-facing requires a support team behind it that can quickly jump in if a mistake is made. Live agents are the only ones able to handle tasks that require empathy, in-depth decision-making skills, and high-level understanding.

Furthermore, some experts think that it’s best to keep AI and human-ness separate. They feel that no matter how much tech advances, AI is never going to be truly human – and maybe it shouldn’t try to be.

Smarter Hiring with AI in Mind

As modern contact centers integrate AI into their routine processes, there should be more of a focus on communication, creativity and empathy skills when hiring agents. Once you know which tasks you’ll automate using AI, you can hire people who match the skills needed for the tasks you can’t or won’t automate.

How do you use artificial intelligence in your contact center?

 

 

 

 

6 Contact Center Technologies to Delight the Customer

Sometimes you have to rethink how you service clients in order to continue improving the customer experience. These six contact center technologies are sure to enhance each customer’s journey, which helps retain them, improves word-of-mouth marketing and elevates your reputation.

  1. Call-Back

If a caller wants to speak with a live agent even though there’s a long wait time, let them opt to get a call back when an agent is available. Allowing the customer to continue with whatever they were doing, instead of having to hang on the phone for several minutes, will keep them happy and let both the customer and the agent deal with the issue efficiently.

  1. Contact Routing Software

Contact routing software passes customers along to the right agent quickly. This technology encompasses all communication routes, including chat, email and voice. Instead of speaking with an agent and then being put on hold to be transferred, the software gets the customer to the correct agent the first time

  1. Interactive Video

When customers call to speak with a live agent via their mobile device, interactive videos play ads, entertainment or promotions during hold time. Not only does this keep the customer’s attention, but it may answer one of their questions or tell them about a product or service they might want.

  1. Two-Way Social Media Conversations

Brands have known for a while that they need a presence on social media, but now customers want a two-way conversation. It’s no longer acceptable to give customers a place to go just so they can provide feedback or learn more about you. Your agents have to actually respond now, quickly and in a personalized way.

  1. Unified Communications

“Omnichannel” has been a buzzword for a long time, but not enough companies are truly embracing it yet. The best customer experience is when the agent can be reached on any device and access up-to-date purchase, service and communication history. Going into a conversation and already having context is imperative.

  1. Voice Response Software

The days of having to listen to lengthy menus and submenus, trying to remember the different numbers to punch in your phone, are gone. With integrated voice response software, the customer can access the right self-service selection by speaking in a natural way.

Contact centers that want to compete need to embrace digital transformation and modern technology.

Elevated CX Is Achieved by Empowering Agents Through Tools and Technology

According to Gallup, highly engaged customer service teams achieve, on average, a 10% increase in customer ratings and a 20% increase in sales. So, it should come as no surprise that three out of five of our top tips for elevating the customer experience in enterprise contact centers are related to agent engagement and empowerment through tools and technology. The following are our five favorite ways to boost agent productivity:

  1. Declutter the agent desktop with an innovative UI.

Provide agents with innovative contact center technology that dynamically selects the most relevant data elements to be shown on the visible part of the desktop. Such technology increases agent efficiency by reducing the time it takes for agents to respond to customer inquiries. Findings in our 2017 trend report show that 40% of the respondents use three or more systems to handle channels in the contact center. Consolidating technologies and information is a great way to empower agents!

  1. Give agents easy-to-use technology for automatic customer recognition.

Having a contact center system that automatically looks up incoming interactions across both internal and external databases to identify customers allows agents to deliver a more personalized response to customers. When your omnichannel system can perform recognition across all channels and federate data from multiple CRMs and applications, agents are truly empowered to solve customer inquiries.

  1. Eliminate mundane transactions with AI and provide agents with AI Assist.

Most industry professionals see adding AI and bots to the contact center as a beneficial strategy for cutting costs and improving the customer experience. There is also evidence that agents feel more engaged when AI and bots are introduced because as bots handle easier transactions, agents are freed to handle the more advanced customer interactions. You can even take this one step further and use your AI to assist agents with intelligent agent reply suggestions.

  1. Automate workflows.

Enterprise process automations allow contact centers to play a larger role in the company. Such automations can be powered by incoming interactions, outbound contact lists, APIs, and a number of triggers, such as customer sentiment, across all channels.

  1. Limit downtime with active-active technology.

Enterprise contact centers can lose thousands in profits when their vendor experiences unexpected downtime. Unique disaster containment is a must in providing top-tier customer support. An active-active approach ensures that all sites of the overall geographically distributed system share the transaction load. If a site fails, the other parts of the system pick up the failed site’s portion of the transactions immediately.

The customer experience and agent empowerment are directly linked. In fact, customer experience leaders have 1.5 times as many engaged employees as do less motivated customer experience providers.

How do you empower your agents?

Customer Journey KPIs Every Contact Center Should Track

 

The customer journey can be a difficult thing to map and understand. With so many touchpoints along the journey, the map isn’t predictable and linear, yet it’s still necessary to monitor and analyze. These Key Performance Indicators (KPIs) will help you gain insight from the customer journey and move on to improve it.

Customer Effort Score (CES)

Even if a customer prefers self-service to live agent support, they don’t necessarily want to put a ton of effort into solving their own issue. Self-service shouldn’t be a difficult-to-implement alternative to normal customer support. Instead, it should meet the needs of the type of customer who seeks out self-service via quick, easy-to-find answers and the ability to make changes sans agent assistance.

Customer Satisfaction (CSAT)

Some of the most important customer journey touchpoints will occur when the customer interacts with a support agent. CSAT is the measure of the customer’s satisfaction before, during and after they contact customer service. If CSAT scores are dropping, it may be time to look closely at agent productivity, ticket management and self-service options.

Net Promoter Score (NPS)

The NPS will tell you if your customers are going to recommend your products and services to others. You have to go deeper here, though – why will your customers recommend your products and services, or what it is that’s keeping them from doing so?

Customer Churn / Retention Rate

Customer support teams for subscription-based products and services have to pay special attention to retention rate. If you see a lot of customers leaving around renewal time, it’s necessary to figure out why you lost them. What part of the customer journey is causing customers to change their mind? There’s a snag somewhere.

Customer Success

Customer Success isn’t a single KPI, but instead a customized KPI program based on your specific business, customers and goals. A Customer Success strategy may include Up- and Cross-Sell Rates; Average Revenue per Customer; or Rate of Adoption, which starts with defining beginner, intermediate and advanced customers or users. You may also want to include Retention Rate, NPS and CES in your customer success KPIs. Think of Customer Success as an overarching customer journey strategy based on what success means for you.

Customer journey KPIs may be difficult to track, but they come with a big benefit – often, improving one will have a positive impact on another.

How Bots Help You Learn What Customers Want

There are many reasons why businesses increasingly turn to artificial intelligence (AI) to augment and enhance their customer communications. That everyone else is doing it too isn’t a good enough reason for you to jump on board any ship, so we’ll just tell you why your contact center should be utilizing AI and cognitive technologies: AI can learn exactly what your customers want.

In a typical call, a customer is greeted by an IVR menu that offers that all-too-familiar range of options (e.g., “Press or say 1 for billing… Press or say 2 for support… Press or say 0 to speak to a representative….”). Although efficient for routing callers to appropriate agents and service departments, automated phone menus do little when it comes to learning the true purpose of a call.

In stark contrast, an AI-enabled contact center can ask the customer a direct question (e.g., “How can I help?”) and the customer can blurt out a specific answer (e.g., “My laptop broke.”). There’s no need to offer options and divine why customers called based on their choices or levels of abandonment.

With just the customer’s answer, the AI-driven contact center can zoom in on keywords, gain information about products or services, detect emotional weight and sentiments, perceive subjects of conversation, use natural language understanding, and so forth—all while recording the conversation and storing data.

The same goes for chats and SMS conversations. Chatbots can skip past all the pleasantries and get to the heart of any issue by simply asking, “What do you want?”

The data gathered from that one question is gold. The next time your customers contact you, let them feed you the very information that empowers your business.

Learn more about how AI assistance and bots can transform your contact center practices.

How AI Serves the Customer Journey

By Nick Deininger

Artificial intelligence is quickly becoming a ubiquitous technology in consumer devices and services. What does it mean for the future of the contact center and how organizations serve customers?

AI-enabled bots and intelligent virtual agents (IVAs) are already transforming post-sales service by enabling better self-service and allowing more forms of customer engagement. But the role of AI is not limited to post-sales interactions. For contact centers, intelligent assistants can significantly improve the customer experience by gathering data, predicting the customer’s needs, and learning about the customer’s behavior.

As Kate Leggett, vice president and principal analyst at Forrester Research principal analyst, recently pointed out, contact centers can use AI to fuel all phases of the customer journey.

Presales:  Showcase more options and overcome hesitations. Predictive analytics and machine learning can help target product recommendations, offer cross-sell or upsell opportunities, and present a coupon or other incentive at just the right moment to take the potential customer from shopper to buyer.

Onboarding: Get customers started quickly. Once the journey begins, intelligent assistants can answer questions before customers even need to ask. AI can drive basic onboarding, such as account activation, to even more complex tasks such as tracking the user’s progress, offering tips for new features, and keeping tabs on customer satisfaction. AI can also capture a potential trouble ticket and route it to a human agent for immediate attention, even before the user asks for help.

Post-sales: Make it easier for customers to serve themselves. Efficient, easy-to-use self-service is clearly becoming the preferred method of customer interaction, and factors heavily into customer satisfaction ratings.  AI capabilities such as cognitive analysis and natural language understanding enable bots to respond intelligently to customer chats and lead natural-sounding conversations.

Anytime: Know when to connect a customer to a live agent.  Done correctly, AI bots seamlessly connect with human agents at any time, for uninterrupted conversations with the customer.

In a world where bots and machine learning are commonplace in all sorts of apps and devices, using AI to boost customer experience is more than smart. It’s becoming essential for every contact center.