Achieving a 360-Degree Customer View Isn’t as Tough as You Think

Achieving a 360-Degree Customer View Isn’t as Tough as You Think TW

One of the biggest challenges for contact centers and customer service departments is convoluted systems. According to CCW Digital research, two of the top five areas for improvement include agents spending too much time on low-value work and the absence of a 360-degree customer view.

When customer service agents don’t have a 360-degree customer view, they spend excess time navigating applications and databases trying to manually find customer information and history, which is frustrating and inefficient for both employees and customers. However, with the right technology, it doesn’t have to be that way. Read on to learn why.

Tap Into the Power of a Centralized CRM

Building a 360-degree customer view is dependent upon giving our front-line employees and customer service agents the tools they need to see customer history, route inquiries accordingly, and find solutions seamlessly through an efficient customer relationship management (CRM) platform.

As seen in a recent CCW Digital webinar, during a peak in the pandemic, customer contact volume increased ten fold, while agent capacity decreased 20%, call duration increased 62%, wait times increased by 27 minutes, and as you would guess, customer satisfaction decreased — by roughly 28%.

As customer volume increases and agent capacity decreases, friction is brought into the customer experience, exposing an unforgiving area for improvement in the contact center — the vast majority of CRMs being used are not getting the job done. Simply put, customer service departments around the globe are losing customers as a result of poor management and technology.

Specifically, incorrect and incomplete data means longer wait times, less ability to predict needs, and less ability to personalize interactions.

We’ve seen an uptick in digital channel utilization which means you have more touch points and data sources to aggregate customer history, and therefore a greater need for an omnichannel CRM.

The only way to alleviate the friction in the customer experience is to create a more efficient process, reducing the amount of applications agents need to record and access customer information, and resolve problems by using a single, unified, and actionable customer service CRM.

Increase Efficiency and Personalization Through AI and ML

AI can help you better glean insights from your data at scale. Then it can be used to improve routing and provide agents with real-time guidance and recommendations, thereby increasing their ability to “see” and “use” their 360-degree view.

AI and machine learning (ML) have the ability to improve the precision and speed of service by automating repetitive, manual tasks as well as your most complex business processes. For instance, high-volume conversation traffic could be intelligently routed to the most appropriate agent, loyal customers could be prioritized, and agents can quickly deliver standardized responses when appropriate.

With Robotic Process Automation (RPA), AI can simulate human actions to complete repetitive and rule-based tasks and processes. RPA can allow chatbots to fully complete a customer conversation without the need to escalate to a human agent, as well as provide the customer with more self-service opportunities by tapping into appropriate backend datta. This makes agents more efficient, freeing up their time for complex and proactive support, and gives customers more accurate information quickly.

Let’s take a closer look at chatbots. They are growing in popularity with both businesses and consumers, and can be used to collect initial information, provide responses to simple questions, and even complete standard tasks like initiating a return or answering an order status question. While there is always fear of losing personalization when using AI, ML, or automation, with the right platform, businesses can actually do the opposite.

If a business leverages customer data properly and gives the chatbot a 360-degree customer view, chatbots can ask personalized questions based on an individual’s purchase or browsing history. These interventions save time for both the customer and agent, and increase the time spent on the actual issue rather than information gathering and low-level support. Of course, if needed, once the customer experience requires a transfer to an agent, automation can route the customer to the right agent, best equipped to solve the problem, and transfer all of that data into the agent’s view.

Want to learn more strategies to deliver standout customer service through a 360-degree customer view? Download CCW’s latest report here, filled with insights from Kustomer CEO Brad Birnbaum and NYT bestselling author Shep Hyken.

 

Believe It or Not, Now Is the Time to Prep for the Holidays. Here’s How.

Believe It or Not, Now Is the Time to Prep for the Holidays. Here’s How. Stat

Many of us look forward to the holidays. We get excited about the prospect of parties, family gatherings, holiday cheer and presents galore. But the holiday season also brings a big lump of coal: an increase in needy customers reaching out to your team in need of immediate support.

According to Kustomer data, inbound customer service inquiries increased by almost 120% during the holiday season in 2019, with particularly dramatic spike in activity on Instagram, e-mail, voice and chat.

Many businesses struggle to maintain a high level of support during spikes in activity. They may need to hire a flurry of seasonal employees who have a short training period. Last year, $284 billion dollars were spent between Thanksgiving and Cyber Monday alone, so the stakes are high. The question becomes, how do you handle the seasonal rush without breaking the bank or disappointing customers? Read on to learn what customers expect, and how to deliver with smart strategies and smarter technology.

Customer Expectations During the Holiday Season

Spending isn’t the only thing skyrocketing during the holiday season — so too are customer expectations. Here is what consumers expect from brands during the upcoming holiday season.

Immediate Service

During the holiday season, the turn of phrase “too much to do, too little time” hits a lot closer to home. Between normal day-to-day life, holiday celebrations, traveling and gift buying, consumers don’t want more of their time taken up by customer service.

According to recent Kustomer research, 77% of customers expect their problem to be solved immediately upon contacting customer service. Customers demand that you respect their time, especially during the busy holiday rush, and if you don’t, they are willing to leave for another retailer. In fact, 70% of consumers would not shop with a retailer again if they had to leave a chat before being helped, and 71% would do the same if they waited so long on hold that they hung up.

Available on Any Platform

Especially during the peak shopping season – Thanksgiving to Christmas — consumers are on the go. They may be traveling to spend time with family, taking a much needed vacation, or multitasking during the work day. What does this all mean? Customers are more willing and able to reach out on new platforms that are most convenient for them.

While 88% of consumers get frustrated when they can’t contact a company on the channel they prefer, availability on multiple platforms isn’t enough. Eighty-six percent of customers said they get frustrated when they have to repeat information to customer service agents. This means that if customers switch channels or need to be transferred, they don’t want the context of their previous interactions lost.

Most of the time, when a customer contacts a company, the team manning that channel will create a ticket. If the customer then contacts the company through a different channel about the same issue, a second ticket will be created with each team working their respective tickets. This results in a fragmented experience and the unfortunate need to repeat information.

How to Wow Your Customers During the Holiday Season (Without Breaking the Bank)

The typical strategies businesses use to please customers have one thing in common: they cost money, and aren’t scalable. What are some strategies and technology tools that you can put in place to wow your customers WITHOUT breaking the bank?

Prepare Early

There’s something to be said about beating your competition to the punch. According to research by Digital Commerce 360, 56% of customers chose where to shop during last year’s holiday season based on past experiences. In addition to common seasonal marketing strategies, delivering a stellar experience NOW can help you drive business in the future.

The companies that are practically synonymous with brand love, and have customers that are loyal to the death, have one thing in common: they have prioritized customer experience since their inception. In fact, customer experience is becoming more important than price and product when it comes to loyalty. Ensure that during busy seasons, when your inquiries and orders quadruple, you can continue to make customers feel just as valued as on the slowest day of the year. By preparing early, you can put the right tools, staff and strategies in place to not only deliver the perfect holiday gift, but also the perfect holiday customer experience.

Get a Little Help From Your Robot Friends

When resources are thin, technology can make a huge impact on your team’s efficiency. Oftentimes the most tedious tasks on an agent’s plate are manual and repetitive, and may not require human intervention. Luckily AI can handle simple tasks like tagging and routing conversations to the most appropriate agent. And consider the power of chatbots during peak shopping periods. They are growing in popularity with both businesses and consumers. In fact, 67% of consumers prefer self-service over talking to a company representative.

Chatbots can be used to collect initial information, provide responses to simple questions, and even complete standard tasks like changing a booking or answering an order status question. While there is always fear of losing personalization when using AI and automation, with the right platform, businesses can actually do the opposite. For instance, if a business leverages customer data properly, chatbots could ask personalized questions based on an individual’s purchase or browsing history. These interventions save time for both the customer and agent, and increase the time spent on the actual issue rather than information gathering and low-level support.

Be Available Wherever Your Customers Are

Omnichannel support shifts perspective from ticket resolution to customer relationship building, which is incredibly valuable during the holiday season, when companies have the opportunity to attract an entirely new cohort of customers. Individuals have the freedom to move between channels throughout their engagement, and are guaranteed consistency, so each conversation starts where the last ended. Agent collision never occurs when communication channels are integrated, because agents can view the conversation and maintain context even as customers engage through multiple channels. If executed properly, omnichannel support provides a consistent experience for customers at every touchpoint after acquisition.

Ensure you have the right technology in place to integrate your combination of communication channels in order to capture the free flow of conversations across platforms and display the data in a single screen. A best-in-class solution should create a unified home for all your customer data, regardless of the source, not only the data generated from customer conversations.

Download our full holiday prep guide for additional strategies and customer insights that are sure to prepare you for the upcoming holiday season.

 

How AI Chatbots Can Streamline Staff Expectations

How AI Chatbots Can Streamline Staff Expectations TW

Artificial intelligence is making a major impact on customer service and shows no sign of stopping. The increased interest is warranted — Forbes contributor Kathleen Walch of Cognitive World said AI is a useful tool that’s improving customer service, enhancing customer loyalty, enabling better brand reputations and allowing customer service agents to focus on tasks of greater value that can bring companies more business.

While all of these benefits are highly advantageous for businesses, making sure customer service staff are satisfied is a critical initial step in the process. Here are four simple ways that AI chatbots can improve work-life for your customer service agents and better streamline agent experience and expectations:

1. Improved Work Efficiencies

One of the many benefits of utilizing chatbots is the ability to shift work expectations of customer service agents. As Chatbots Magazine stated, chatbots are truly the future of engagement. There are many direct questions that can be handled by way of automation, giving customer service staff the freedom to take on the more meaningful conversations within a short period of time.

2. Better Conversations With Customers

When customer service staff can focus on more important cases instead of the simple questions that AI chatbots can handle, agents have a strong role in driving business and loyalty for the company.

3. Enhanced Job Satisfaction

When customer service agents have more time to focus on complex queries and enhance the connection between customers and your company, they may find greater overall satisfaction in their work. With AI chatbots, you also have the opportunity to introduce steady, more enjoyable working hours that create work-life balance. AI-powered bots can handle the low-level inquiries during the traditional “after hours” time frame, which means you don’t have to worry about keeping staff on the clock at all hours of the day. Not only can this help with workplace satisfaction, but it can also reduce overhead costs.

4. Increased Capacity

Realistically, customer service staff can only talk to one customer at a time, making it difficult to handle more than one issue simultaneously. When AI chatbots are introduced, you can alleviate the pressure that customer service agents once felt about long queues. While this is beneficial for agents in terms of streamlined expectations, your company can still meet bottom-line goals and continue servicing all customers that contact you.

Working With Kustomer

Kustomer’s customer service CRM platform is built to meet the expectations of the customers and agents of today. With our solution, you can better manage customer inquiries and high support volume to streamline staff and company expectations. Request a demo today to learn more about our process and services.
 

Questions You Should and Shouldn’t Bring to a Customer Service Agent

Questions You Should and Shouldn't Bring to a Customer Service Agent TW

Customer service agents provide immense value to any business. Not only are they highly knowledgeable resources that consumers can rely on to solve their issues, they also play a role in influencing purchasing decisions and building community.

The digital age, however, has made it easier for companies to rely less on human agents to answer easy questions and instead utilize artificial intelligence to get the job done, and many significant companies like LinkedIn, Starbucks and eBay are on board. The general interest in chatbots is only anticipated to grow, as Business Insider reported that the market size is projected to increase from $2.6 billion in 2019 to $9.4 billion by 2024.

The Power of Chatbots

Enabling automated, low-level service via chatbots allows your business to take these smaller inquiries off the hands of your agents, so they don’t have to work around the clock. They are able to focus on the most important cases, playing an invaluable role that drives business and loyalty.

But which questions should chatbots handle, and which should be escalated to customer service agents?

Questions for AI Chatbots

Today’s consumers love convenient interactions. AI chatbots allow for quick resolution without impacting the quality of the experience.

Questions that are simple are ones chatbots can easily handle. CXL Institute refers to these as “Tier 1” questions, which can be interpreted easily by a machine that’s loaded with information in a database. Queries regarding size availability, time and rescheduling for travel booking, as well as specific order numbers can be easily answered by chatbots. Queries regarding information that can be found on your company website are also great for chatbots to tackle, saving customer service agents time and energy that would otherwise seem wasted.

Questions for Customer Service Agents

Live chat is unmatched for some consumers. When it comes to the complex questions, we agree. For example, if a customer is interested in a certain product but wants more information and guidance down the sales funnel, an agent can address doubts, answer these specific questions and help customers make decisions. Questions that can turn into bigger issues based on communication limitations don’t work well for chatbots; customer service agents can provide sincerity in the form of understanding and humility, for example, which can improve the reputation of your business.

But AI chatbots allow you to scale your customer service and rely both on artificial intelligence and human agents to provide a quality experience for consumers. Learn more about how Kustomer can improve your customer service strategy today by requesting a demo.

 

Making Customer Service Faster and Smarter With AI with Omar Pera

Making Customer Service Faster and Smarter With AI with Omar Pera TW

Listen and subscribe to our podcast:

In this episode of Customer Service Secrets, Omar Pera, CEO at Reply AI, joins Gabe Larsen to discuss how to use artificial intelligence to make customer service faster and smarter. Omar’s background is in solar engineering. His first job in customer service was at CERN, a physics lab in Switzerland, where he deployed the internal customer service tool for 2000 employees. Later on, Omar moved to New York to work with Big Civil, a tech startup. On nights and weekends Omar worked with his brother, Pablo Pera, developing some indie apps that became really successful with more than 50 million downloads in different markets. Fast forward to 2015, Omar wanted to know the penalty fee for a flight change, and after a terrible customer experience Reply AI was born as an easy way to automate conversations. Omar has extensive knowledge in the technology sphere and provides valuable insights on how technology and artificial intelligence can help create an exceptional customer service experience. Listen to the full podcast episode below.

Instantaneous is the Expectation of the Customer

Every customer service team knows that the customer wants their issues resolved, quickly. Customer experience is becoming more important than price and product when it comes to loyalty. Businesses who prioritize customer experience are the ones succeeding and the ones with more engaged customers. Omar shared a story about being on hold for 45 minutes and waiting 7 days for an email just to find the answer to his question about a flight change fee. This experience motivated him to build a platform that would help automate the most common question businesses receive. Customers want instantaneous solutions to their problems and they want to do it themselves. Omar states, “67% of customers prefer self-service over talking to an agent. … I believe that companies should be focusing on self-serve.” Intelligent automation as part of the customer service strategy not only keeps your customers happier, it also improves the efficiency of your agents.

Chatbots and Other Efficient AI Applications

Chatbots are typically the first platform thought of when it comes to customer service, and for good reason. Almost every business uses charbots to reduce unnecessary engagements with agents. Simple problems and questions can be answered much faster with chatbots. However, Omar points out that there are some other good examples of how to use AI in customer service: agent assistants, automatic categorization of tickets, smart routing or deflection. Omar summarizes:

“Everyone thinks that chatbots can solve everything. Not at all. Really, you can use a chatbot just to gather information and then hand over to an agent. That’s already helping your agents to be more efficient and the customer doesn’t need to wait for that initial “hello” from the agent to start solving their issue. Or, going a little further, you can do some API calls, integrate with your backend, and fully resolve issues”

There are so many different ways to use AI that companies are missing out on because they are only focusing on using chatbots to answer questions. The positive customer experience of the future has AI integrated into several stages of the customer journey.

How to Start Integrating AI into Your Company

Starting the AI journey is no easy task. There are so many things that can be automated, which is intimidating. Omar understands how hard it is and shares, “Start with one, one automation at a time. Focus only on that one… If you have live chat for example, why not understand which topic has the most volume and start gathering information about that today. Maybe a chatbot that answers “Where is my order?”. Ask the customer what is their order number and then hand it over to an agent. Once you control that, move to the next step: integrate with your backend so that later we can give them the tracking code… Start small. Start today.” After doing an audit of your company and the processes that should be automated, pick one, and get started. It will be a gradual process but Omar assures that it will be well worth it in the end. Good customer experience should revolve around making sure the customers get their answers with little friction and in a timely manner.

To learn more about AI and automation in customer service and how to integrate it into your company, check out the Customer Service Secrets podcast episode, and be sure to subscribe for new episodes each Thursday.

 

Listen Now:

Listen to “Artificial Intelligence and CX | Omar Pera” on Spreaker.

You can also listen and subscribe to our podcast here:

Full Episode Transcript:

Making Customer Service Faster and Smarter With AI with Omar Pera

Intro Voice: (00:04)
You’re listening to the Customer Service Secrets Podcast by Kustomer.

Gabe Larsen: (00:10)
Alright, welcome everybody. We’re excited to get going today. We’re going to be talking about artificial intelligence. We’re going to be talking about some recent news that happened here at Kustomer. We acquired a company called Reply.ai and they bring a wealth of information in the bot deflection and artificial intelligence category. And so we brought on Omar Pera, who’s currently the CEO and founder of Reply.ai and is taking on a Director of Product Position at Kustomer. And we want to dive into this idea of chat bots, AI, and how companies are using these different tools to be more efficient and more effective. So Omar, I appreciate you joining. How are you?

Omar Pera: (00:56)
Thanks for having me.

Gabe Larsen: (00:58)
Yeah, I think this will be exciting and congratulations on the big announcement.

Omar Pera: (01:03)
Thanks so much. This being the most exciting two days of pretty much my life except my wedding, so it’s been pretty good.

Gabe Larsen: (01:11)
I love it. Well, yeah, tell us just real quick. I mean, it’s obviously been a busy couple of weeks. Well, we probably better start a little higher. I wanted to jump right in the announcement, but maybe let’s start with just a little bit about you and Reply. Can you tell us a little bit about what Reply does and a little bit about your background?

Omar Pera: (01:31)
Yeah. So, my background is in solar engineering actually. I started my career in bioinformatics, then moved to CERN, which is a very famous physics lab in Switzerland. And actually my first job in customer service was at CERN. It was a physics lab that I deployed the internal customer service tool for 2000 employees there. And then after that I moved to New York, to work in a tech startup. And then on the nights and weekends, Pablo Pera, which is my brother too and co-founder of Reply, myself and a small team, we created some indie apps that got very successful in the markets. And then after that I jumped, diving into Reply.

Gabe Larsen: (02:15)
I love it. What was the reason to move to New York? Was it just wanting to — I mean, obviously, originally, Spain is home, correct?

Omar Pera: (02:24)
Well it is home today. I’ve been around eight years outside Spain. I went to first UK, then Germany, then Switzerland for CERN, and then I moved to New York–

Gabe Larsen: (02:38)
Oh yeah because CERN would’ve been in Switzerland. Yeah that’s right

Omar Pera: (02:38)
And then I moved to New York, to be working with Big Civil, which is a company that got acquired for a bunch of dollars. It was a pretty exciting moment there. Then later that’s when I started Reply.

Gabe Larsen: (02:58)
Okay so that makes more sense. So you’ve bounced there, so you’re quite the international traveler, it sounds like.

Omar Pera: (03:03)
I am. But I still have a funny accent. I cannot deal with that.

Gabe Larsen: (03:08)
It just depends on where you are if the accent is funny or not. You know, I lived a couple of years in the Middle East, a couple of years in Germany and my accent was weird to them there as well. So, no harm, no foul. It sounded like you did when you mentioned you had successful Indie apps, it was very successful. I mean to the tune of millions of downloads, is that correct?

Omar Pera: (03:29)
Yeah. We deployed around 10 or 12 apps to the markets, on many different verticals. It was just our own ideas and some of them actually got into the order of millions to a total of 50 million downloads.

Gabe Larsen: (03:44)
Oh wow. Wow. Hopefully you were charging a couple bucks per download on those.

Omar Pera: (03:47)
No, I know. I wish. I wish, but no, it was a combination of advertising and other things.

Gabe Larsen: (03:55)
If it was, we probably wouldn’t be talking right now. Right. If you’re doing five dollar– So I’m glad you didn’t. I’m glad you didn’t do that. Well let’s get into Reply then. I mean you kind of walked us through the background and then you ended saying, we then started Reply. So what was the story behind that? How did it start? Why Reply?

Omar Pera: (04:16)
Yeah, so it was funny because one of the apps, [inaudible]. So from five emails, we got into 50 emails and then 100 emails per day. So we could not keep up. We actually hired on a freelancer or other services there, some contractors, but really we could not keep that momentum. And then actually one day, this was 2015 one day I wanted to know the price of the penalty for a flight change. So I called an airline, and waited on hold for 45 minutes and then the phone disconnected and it was super annoying. And then I sent an email and waited for seven days to respond. So I really knew that that was a bad experience.

Gabe Larsen: (05:01)
It was seven days, huh?

Omar Pera: (05:03)
Seven days to respond just to understand it was 70 bucks of the penalty fee. So we really knew that that was a very bad customer experience. We also knew that from being a customer. So we hate to wait, like everyone hates to wait. So we had a look at the market and said I don’t think there is a platform out there today that makes it very easy to automate conversations. So that was the beginning of Reply. We now are a customer service automation platform now integrating to Kustomer. We help companies to resolve their most common questions without any agent in the region.

Gabe Larsen: (05:42)
Oh my goodness. So important. I just feel like — it’s funny because I’ve often debated this kind of bot versus, deflection bot versus human interaction. That’s been a conversation for a while. But man, in the last couple of months, the amount of energy and the amount of focus that companies are putting on doing more with less kind of to use your line to eliminate that agent. It just seems like it got — it was important, don’t get me wrong, but now it’s like, wow, it’s really important. Right? It’s just kind of the times have changed. So, one more followup to that. I think you’ve kind of hit on this, but I want to just double click it and that is, what then really was the core thing you were trying to solve for Reply?

Omar Pera: (06:35)
Yeah. So we experienced both sides of the problem, right? As a company, as business owners and as myself as a customer. So these gave us unique insights, how to fix the problem because first, for any company of the planet who is growing, it’s very, very hard to scale customer service. That’s pretty much a fact. So we sit down to set ourselves to solve that problem. And the ultimate goal is pretty much to have a great customer experience and make customer service faster and smarter. That’s what we really want to do. So we started doing that on Reply by providing a do it yourself tabled platform. And then we quickly realized that there was more than just chat. So we’ve expanded our offering to provide self-serve on all channels, including chat, email and your contact form. And I think to date, which I believe is going to be around 1 million and a half consumers have gotten any answer from us without waiting.

Gabe Larsen: (07:41)
Wow. Wow. Okay. So those are the number of answers or deflections or self service inquiries that have been solved.

Omar Pera: (07:47)
Yeah, the number of customers who have been touched with our automation and being helped.

Gabe Larsen: (07:53)
So over a million is where you’re currently standing. And the great thing is it isn’t just, that last point you mentioned, it isn’t just the bot, it’s actually email you said and what was the last one?

Omar Pera: (08:05)
So we can replace the contact form by using your FAQ. So the FAQ is usually the most creative piece of self-serve that any company has. So we try to make use of it so that whenever you are submitting a contact form, we provide you with suggestions for that contact form. So they don’t need to wait.

Gabe Larsen: (08:25)
Fascinating. And again, just so timely and maybe I’ll follow that up with that. I mean, why do you think it is so timely? Why is it so important now that people start to think about these types of tools, these types of technologies?

Omar Pera: (08:41)
Well, COVID is one of the causes, which is very sad, but at the same time, it has caused that customer service is totally overwhelmed. And the reality is that people still expect that you solve the issues fast.

Gabe Larsen: (08:57)
Yeah.

Omar Pera: (08:57)
They are used to one day delivery. So maybe now with a three day delivery, they’re going to find that not with a one week delivery. Right. So I will say that today for even any business consumer company, if you have a contact form or an email and you have three to seven days response time, you know that you have a problem. Right? So I think it is — every company has learned to do social very well, but usually customer service has been a call center right in the background of every company. So I think now more than ever, customer service is also part of your brand and the only, not the only, there are many solutions out there, but, AI and better self serve can really help get your company in a very good position to have a good customer experience.

Gabe Larsen: (09:48)
Hmm. Interesting. I mean, it does seem like there was some good — and maybe you have those off the top of your head, but there’s some good stats out there that really highlight the need for this new age world, which is people do want answers more quickly. They expect it. To your point, it’s a little more part of your brand. You have a couple of those off the top of your head.

Omar Pera: (10:11)
I have one which is the most funny one is that consumers would rather go to the dentist than contacting a company by phone. That is hilarious. And then you mix that with I think it’s 67% customers prefer self-serve over talking to an agent. So I think you put those two together and you have everything that every company is struggling to maintain that level of productivity. I believe that companies should be focusing on self-serve.

Gabe Larsen: (10:47)
Wow. Yeah. That idea that 67% of consumers would prefer to do self service. Why do you think that? I mean, truthfully, I believe that. I’m a consumer, we’re all consumers ourselves. And I think I have my own reasons. But what was the why behind that? Just in your own opinion, why do you think people want that?

Omar Pera: (11:09)
So I believe today we are very impatient and we want answers as fast as possible. Even the rise of messaging. Everyone is texting, is doing texts these days, right? With WhatsApp or Telegram, all those messaging apps that are popping up, they have even more traffic than social today. So I think that instantaneous communication, you want that translated into the brands that you love.

Gabe Larsen: (11:43)
Yeah, yeah. I mean we all — that instant, I love that word. It’s instant gratification. Sometimes it’s used in a negative context, but truthfully, I want it, I want it now and some of the current environment I don’t think has helped that. So let’s see if we can get into a couple examples here. I love the idea — I mean, you’ve got a strong background in artificial intelligence, machine learning. AI is definitely a big talk track in customer service today. Obviously it fits into some of the things we’ve talked about doing more with less. What are a few examples of using AI in customer service? Let’s see if we can click down there.

Omar Pera: (12:21)
Yeah. So today when you say AI in customer service, everyone is thinking about chatbots correct? But I think we should not end there and maybe we should not even start there. So we will have that. But they believe that there are many, many good examples of AI including chatbots that you can apply to your company. So one of them could be like agent assistant, right? You have an assistant who is helping your agents to be more efficient by suggesting answers on real time and it can even learn from past behaviors. So it’s really helping you out. Another one, very simple is to categorize your tickets automatically. Like how many companies do have one or two people categorizing those tickets in order to get to the right person or even later for insights. The most typical one today who has been a big one in the phone space has been smart routing, who to direct this issue to based on what you know. That is a big one.

Omar Pera: (13:33)
So we’ve already gone through three and then the fourth is usually chat bots. Correct. Everyone thinks of chatbots as a chatbot that can solve everything. Not at all. Really, you can use a chatbot just to gather information and then hand over to an agent. That’s already helping your agents to be more efficient and the customer actually to not need to wait for that initial hello from the agent or you can actually go a little bit further and do some API calls, integrate with your backend and fully resolve issues. I think the last piece, which I believe is the one where on Reply, we’ve been focusing the latest, which is deflection with your FAQ. Everyone has an FAQ today and you can really provide recommended suggested articles in a very smart way and try to really provide that paragraph that really works and resonates with the customer asking a question so that they can get resolved that issue faster.

Gabe Larsen: (14:32)
Got it. Okay. So we got agent assists, we’ve got, categorization of conversations, routing, chatbots and some of the deflection I think is what you talked about. Couple of follow ups on that. One is, that is a lot. So if you were going to start, if you were going to recommend for someone to start somewhere on their AI journey, which one of those initiatives would you maybe start them on?

Omar Pera: (14:55)
So I will say that usually the biggest problem is that you have too much volume, right? So the simplest way to set up something is usually deflection because you already have an FAQ, right? So that’s usually the first step that I will suggest. And then if we move into — if you have live chat, that usually depends on the channels. If you have live chat, why not understand which is your one topic that you have more volume on and start gathering information for that topic today. Just a little chat bot that says, Hey, maybe it is “Where is my order?” questions are your top one. So let’s just do a chatbot that’s only that. Ask the customer what is their order number and then hand it over to an agent. You can do that in a day, today. Later, okay, let’s integrate with your backend so that later we can give them the tracking code. Okay, good. Next step, we can get the tracking code, we can call the shipping provider and we can get them the exact day that it’s going to be delivered. So it’s an iterative process and there is no risk. So I think that’s important. But the biggest piece of advice that I usually give to every single company is to start very small and start today.

Gabe Larsen: (16:19)
I liked that iterative process, right? Because I don’t know if there is a way you can just — I think truthfully that’s maybe one of the mistakes I did when I first was playing around. I’ll use the chat bot just as an example. I thought, you know what, I can just throw it up on my website and be done. That was a mistake. You kind of needed to go through what you were talking about; build, measure, repeat. I learned that the hard way, but I think that’s a great principle to live by. Let’s see if we can continue down that journey. So as we think about getting AI into CX, I love your iterative process, but you were also saying, Gabe, as we’ve worked with companies, I like this idea of starting small and starting today. I want to continue down that journey. What are some, what do you mean by that?

Omar Pera: (17:03)
So this means that for someone, one of our customers, you saw a large marketplace and they have many, many different types of issues. From, where’s my order to scheduling issues, to refunds, change orders. So there is a lot. So what we need is just to start with one, start with one, one automation at a time. Focus on that one. Don’t focus on any other topic. You can focus on two or three. Okay. But it is even better to just do one and then — but the most important part is if you do one you do that very well and everything else reduces that friction to the customer. So that’s very important. For example, when I mean they could start today and start small; do you have an FAQ contact form? Okay. Start today with an FAQ deflection. What are you waiting for? You can remove even 40% of your questions with that. Or do you have live chat?

Gabe Larsen: (17:58)
40% of your questions? Oh, so they wouldn’t put them in the form, they could just get answers via the deflection.

Omar Pera: (18:04)
Suggested articles. Yeah. If you have a good knowledge base, you can get suggested articles and usually customers are not browsing anymore a lot of knowledge spaces because usually they are tired of searching and not finding anything. Right. So if you bring AI to bring the answer to the question at the right moment, they are going to pay attention.

Gabe Larsen: (18:24)
Hmm. Got it. Got it. Okay. So start small. Start today. I love some of those examples, whether it’s contact form or live chat, you can get something that resolves your order or deflect something. Okay. Where do you go next? What’s kind of — after you start small, start today, what’s your next principle to get people up and going here?

Omar Pera: (18:40)
So the concept I would say is pretty simple. Make it very easy to find answers. Make it very easy. That means that you have a knowledge base, open it, very visible, not in the footer.

Omar Pera: (18:55)
Their knowledge base. They write all these great articles. No one ever uses it, right?

Omar Pera: (18:59)
Correct. And they have the contact us page on one side and their knowledge base on the other like put your contact page, inside your knowledge base. Make your articles short and sweet. Simplify it. Cutting to short sentences. This is not marketing, this is more about really going to the point to solve that question and I think it’s very important. These are common mistakes where I see like the knowledge base is a structure from the point of view of the company. I think flip that. Flip the navigation of your knowledge base into the point of view of the customer and the common problems that they are going to have.

Gabe Larsen: (19:33)
Yes. Yeah, it is interesting. It does feel like — you’ve mentioned a few other things but it does seem like often the knowledge base is hidden. It’s kind of back in the middle of nowhere. Sometimes I have a hard time figuring out where the knowledge base is and the thing that I love that you guys do or that you’ve talked to me a little about is just bringing that knowledge base to the customer. That may mean some of the deflection capabilities, but you know now I don’t have to go search. I may be chatting with a bot and the bot is actually bringing that knowledge base from the back to the front to me rather than having me go find it. I love that idea. I just think that’s so easy. It’s to your point, it’s getting answers easy and reducing friction. Okay, so we’ve got one, two, three. What is, what’s the next one? Where do you go next when you coach people on this journey?

Omar Pera: (20:17)
So I believe this one could also be one of the most important parts if you don’t want to damage your brand, which is don’t frustrate your customers. This is such a simple idea. And everyone usually will say that they are not trying, but if you do any automation, you need to be not careful. You need to have a good process. If you do any automation today, like dude, never pretend that you’re a human ever.

Gabe Larsen: (20:45)
Oh, interesting.

Omar Pera: (20:46)
Yeah, that’s, that’s my point of view. There are many others who believe in a different way, but I have a strong point of view on that. Another strong point of view which I’ve also seen in the market quite a lot is the, “Sorry, I don’t understand” message right? Chatbots have been a little bit controversial in the past few years going in ups and downs because I believe it is not about the technology was not there, not like if you improve it has improved a lot, the technology. But I think the process is very important. So the process to create a nice conversation design brings that maybe you don’t need that “Sorry, I don’t understand” message. Forget that. Get out of the way. Automation, get out of the way very fast. Go to an agent directly. If you don’t understand a question, reduce the friction. So I think that is very important. And then just to put a concrete example, remember the chatbot about “Where is my order?” that I mentioned before? If the customer says absolutely anything that is not related to “Where is my order?” you go to an agent directly without waiting, without doing anything, without rephrasing, just go to an agent. Maybe ask their name and email and go for it right away.

Gabe Larsen: (22:03)
Wow. Yeah. So you are, don’t mess with the bot, get to the agent faster. Don’t mess with it so much is what I’m hearing you say there. Wow. All right, well, last question before I let you go and then I would love to hear maybe a quick summary. But, again, congratulations on the news. I’ve never had a company acquired. I’m sure you’re kind of on cloud nine. Can you give us, from your perspective, it’s been a busy couple of weeks the last two weeks, but how did it all kind of go down and, are you excited about the result? Are you excited about the next step and joining Kustomer? Give us kind of your quick take on the last couple of weeks here.

Omar Pera: (22:49)
Yeah, so I actually told my brother last year in a Slack message that I just saw a demo with Kustomer and I was so amazed, so amazed about the product that I believe that they will pretty much eat the whole market share of digital customer service with a powerful CRM. So, I’m actually — I think most interpreters usually say that you are going to feel kind of sad in a way. It feels sad. But I think I have more excitement about the future. So I believe now it’s like I’m in this new adventure. It’s like starting on day one with the same excitement as if I started Reply on day one. So I am very, very, very happy of this.

Gabe Larsen: (23:39)
Good man. Well again, congratulations. I know everybody here at the Kustomer Crew is excited to have you join. So talked about a lot; the acquisition, best practices with using AI, a lot about bots and different AI capabilities. Summarize kind of the conversation for us as we think about customer service leaders trying to win and take today’s challenging times.

Omar Pera: (24:01)
So I would say any customer service leader knows that it’s very hard to keep satisfaction high while you are growing. That is very hard. So I would say make self-serve a priority in your company. Start very small, make it very easy to find answers and that, you bring that together with a customer service tool that is very good. Put in the context of a contact in the same screen such as Kustomer. I believe it’s actually the key to success. So my last point will be, really the technology is there. There’s no need for one year plans. You just need to start a small start today and really don’t wait, just implement these broadly and the benefits will come over time.

Gabe Larsen: (24:45)
Yeah. Yeah. By small and simple things great things come to pass, a wise man once told me that. So Omar, really appreciate your time. If someone wants to get in touch with you or learn a little bit more about some of the things you’re doing, what’s the best way to do that? Like LinkedIn maybe or?

Omar Pera: (25:00)
Well omar@kustomer.com, omar@reply.ai, Twitter. I am Omar Pera on LinkedIn. Any time, I have DMS open on Twitter. So I really liked talking to people. So yeah, look me up on any channel.

Gabe Larsen: (25:20)
All right, well it sounds like you got a couple options there. So Omar, thanks so much for joining and for the audience. Have a fantastic day.

Exit Voice: (25:35)
Thank you for listening. Make sure you subscribe to hear more customer service secrets.

 

Kustomer Acquires Reply.ai to Deepen Intelligent Automation Capabilities

Kustomer Acquires Reply.ai TW

Here at Kustomer, we believe artificial intelligence plays an essential role in helping companies scale customer service and efficiently deliver exceptional results. And we aren’t alone. Gartner predicts that 72% of customer interactions will involve technology such as machine learning and chatbots by 2022. That’s why we are excited to share that Kustomer is acquiring Reply.ai to deliver even deeper intelligent self-service and agent assistance to our customers.

As a long-time partner of Kustomer, Reply is able to seamlessly integrate their tools into the Kustomer platform and help brands efficiently scale without compromising quality of service. The partnership furthers our commitment to integrating Kustomer IQ, our artificial intelligence engine, throughout the customer journey, while providing some powerful benefits to businesses and customers.

Reply is ranked as one of Forrester’s Top 10 AI Providers for Customer Service Automation, leveraging sophisticated machine learning models to power incredibly accurate self-service chatbots and deflection tools. With an astounding 40% average deflection rate, Reply, now a part of Kustomer IQ, can successfully resolve nearly half of all initial customer communications without the need for live interaction with a service agent. And with 67% of customers preferring self-service over talking to a company representative, deflection tools are not only a win for businesses, but also for customers.

With Reply now a part of Kustomer IQ, our customers will save thousands of hours spent answering simple questions, so they can focus on the most important cases that have a much larger impact on business and loyalty. At a time when customer service teams are being asked to do more with less, our suite of AI tools can tackle your growing queue of inquiries around the clock, while drastically minimizing costs.

We are so excited to welcome co-founders Omar and Pablo Pera, and the entire Reply team of world class data scientists and engineers to the Kustomer Krew. With Reply’s engineering offices in Madrid, this acquisition will also expand our presence in Europe and accelerate our growth in the region.

It goes without saying that we’ve always been committed to revolutionizing customer service. Today’s acquisition of Reply marks one more step in that journey.
 

What Customers Can Now Expect From Kustomer IQ

Chatbots

Built within Reply’s natural language processing engine, these best-in-class chatbots feature visual flow builders and templates for easy one-time creation and deployment across multiple channels and languages, providing effortless experiences by connecting customers to the right information.


 

Knowledge Base Deflection

An enhanced deflection widget can be embedded in forms, email, and chat, and features a powerful information retrieval system in which a semantic search engine and answer extractor not only provide relevant articles and content, but the exact answer to a question.


 

API Access

The platform can plug into third-party APIs to leverage a company’s most critical customer data points when deflecting. For example: a chatbot can answer the question “where is my order” or “when does my policy expire”.
 

Agent Assistance

Relevant answers and subsequent actions can be suggested to agents based on historical behavior, user text and conversation context. Actions include routing or auto-tagging conversations, as well as responding with relevant templated content.


 

Analytics Dashboard

Deflection success rates are measured and chatbot behavior can be evaluated, with functionality to support custom events, set conversion goals and segment audiences.

With Kustomer and Reply now joining forces, we are excited to announce the immediate availability of Kustomer IQ Plus, delivering new ways to interact with customers through chatbots and sophisticated AI capabilities. Please get in touch to learn how to get started or watch our latest ondemand webinar.
 

Kustomer Acquires Automation Technology Company Reply.ai, Accelerating Kustomer IQ’s Intelligence Platform To Help Companies Effectively Scale Customer Service

Kustomer Acquires Reply.ai TW

Reply is the first acquisition for Kustomer, reinforcing Kustomer’s commitment to AI and machine learning capabilities throughout the customer journey. With Reply, Kustomer will now offer enhanced chatbot and deflection capabilities through its customer service platform.

New York, NY – May 14, 2020 — Kustomer, the omnichannel SaaS platform reimagining enterprise customer service to deliver standout experiences, announced today it has signed an agreement to acquire Reply.ai, a customer service automation company founded in 2016 that helps companies scale intelligent customer service without compromising experience. Reply leverages artificial intelligence and machine learning models to improve agent efficiency through self-service chatbot and deflection capabilities. This announcement comes on the heels of the expanded roll-out of Kustomer IQ, the artificial intelligence engine embedded across Kustomer’s CRM platform. With Reply, Kustomer can provide even deeper intelligent self-service and assistance via Natural Language Processing (NLP) based chatbots, enhanced omnichannel customer deflection and machine learning based response suggestions. Madrid based Reply will also accelerate Kustomer’s European growth by significantly increasing its presence in the region.

“We believe artificial intelligence is essential to helping today’s enterprises scale customer service and efficiently deliver exceptional results. We recently rolled out Kustomer IQ to meet the growing need for companies to have access to the power of AI, and with today’s acquisition, we continue our investment in bringing self-service tools and intelligence capabilities to our clients,” said Brad Birnbaum, CEO and Co-Founder of Kustomer. “Reply has built deflection and self-service chatbots that help companies effectively deflect initial customer communications at an astounding rate of 40 percent. This means that almost half of all initial customer communications can be successfully resolved without requiring live interaction with a service agent, bringing greater efficiency to the entire customer service function. We are excited to welcome co-founders Omar and Pablo Pera and the entire Reply team of world class data scientists and engineers to the Kustomer Krew.”

The Reply suite of tools include deflection capabilities that look at historical and contextual data, continuously improving over time, as well as deflection widgets that can be embedded in forms and email, and features a powerful information retrieval system that extracts relevant answers to customer questions from a company knowledge base. Reply also features a platform to build chatbots that can be deployed across multiple channels and languages, and agent-assist tools that suggest relevant answers to messages and subsequent actions, such as routing or auto-tagging conversations.

“We are excited for Reply to join Kustomer and share its mission to make customer service more efficient, effective and personalized. As a long-time partner of Kustomer, we are able to seamlessly integrate our deflection and chatbots technologies into Kustomer’s platform and help brands more cost-effectively increase efficiency. We look forward to working with Brad and the entire team,” said Omar Pera, Co-Founder of Reply.

“By leveraging advanced AI capabilities and Kustomer’s robust CRM platform, combined with self-service deflection tools, Kustomer is uniquely built for the needs of today’s enterprise companies,” adds Birnbaum. “Since 2015, we have been committed to revolutionizing customer service and today’s acquisition of Reply marks one more step in our journey.”

For more information about Kustomer, visit www.kustomer.com

About Kustomer
Kustomer is the omnichannel SaaS CRM platform reimagining enterprise customer service to deliver standout experiences. Built with intelligent automation, Kustomer scales to meet the needs of any contact center and business by unifying data from multiple sources and enabling companies to deliver effortless, consistent and personalized service and support through a single timeline view. Today, Kustomer is the core platform of some of the leading customer service brands like Ring, Glovo, Glossier and Sweetgreen. Headquartered in NYC, Kustomer was founded in 2015 by serial entrepreneurs Brad Birnbaum and Jeremy Suriel, has raised over $174M in venture funding, and is backed by leading VCs including: Coatue, Tiger Global Management, Battery Ventures, Redpoint Ventures, Cisco Investments, Canaan Partners, Boldstart Ventures and Social Leverage.

About Reply.ai
Reply.ai helps brands scale customer service by providing AI-powered solutions that instantly resolve common customer questions on chat and ticketing channels. The two core products, Deflect for Ticketing and Deflect for Chat, reduce consumer frustration and deliver 24/7 personalized service, ultimately increasing self-service effectiveness and support team capacity. Reply’s customers, like The Cosmopolitan Of Las Vegas, Vail Resorts, Honeywell, Glovo and Paula’s Choice, rely on Reply for innovative and industry-focused solutions to customer service problems. Reply was founded in 2016 by former Google and CERN engineers and is headquartered in New York City and Madrid, Spain.

Media Contact:
Cari Sommer
Raise Communications
cari@raisecg.com
 

How Automation Is Changing the World of Customer Service

Woman with Laptop

Today, many industries rely on technology to operate successfully. More so, our current climate has forced businesses to shift to remote work, making digital reliance more critical than ever. Consumers are expecting great customer service no matter what, even when face-to-face interaction isn’t an option.

That’s where automation comes into play. According to Business News Daily, many business owners are already taking advantage of automation in one form or another, as it can be highly valuable to a company’s bottom line.

“Automation takes a lot of forms,” Fred Townes, co-founder and COO of a real estate tech company shared with Business News Daily. “For small businesses, the most important thing is [repetition]. When you find something you do more than once that adds value … you want to look into automation.”

Automation doesn’t necessarily mean sacrificing the customer experience, rather, it can better equip agents with the information and resources needed to better service customers. Customer service is just one of many factors business owners can automate and see improvements in terms of scalability and overall efficiencies.

Why is Automation Valuable in Customer Service?

AI in customer service has had a good reputation for some time. In fact, last year, research predicted that digital customer service options would increase by 143% this year. When automation handles the repetitive tasks, it frees up time for agents to interact directly with customers. With the help of AI, customer service agents have more time to interact with more consumers, with less strain, and see a major impact on scalability.

Customer expectations are different than they were a decade ago. Consumers understand the capabilities of technology and want to feel that businesses are taking full advantage of it. Businesses that utilize different service types online, such as self-service and full-service options, are providing their customers with flexibility. Giving customers the opportunity to help themselves, through carefully curated content and online chatbots, are a few ways to offer self-service. Since 67% of customers prefer self-service over talking to a company representative, this flexibility makes it easier for customers to get the answers they need as quickly as possible.

How Can Businesses Make the Switch?

If your business has yet to implement customer service automation, you’ve come to the right place. Kustomer strives to make personalized, efficient and effortless customer service a reality for any business. As a multi-channel SaaS platform with powerful AI capabilities, Kustomer enables companies to contextualize all conversations to not only better understand each customer, but also to eliminate the distracting, time-consuming tasks that fall upon agents.

From cross-channel conversations to automated business processes, the Kustomer platform can help your business improve overall efficiencies by automating routine actions and eliminating manual tasks altogether.

Interested in learning more about how automation can change your customer service reputation? Contact Kustomer today to get started.

The Benefits of Intelligent Automation in Customer Service

Man with iPad

Now more than ever, artificial intelligence (AI) is becoming a fundamental cornerstone of business operations and is changing the way that companies across the globe work. In fact, the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Systems Spending Guide forecasted spending on AI to reach $79.2 billion in 2022, with a growth rate of 38% between 2018 and 2022.

Speaking to the world of customer service, intelligent automation is a solution that can personalize the interactions between businesses and their customers while making the experience more efficient and streamlined.

Let’s take a closer look at what defines intelligent automation and some of the benefits it can bring to customer service:

What Is Intelligent Automation?

According to Forbes Council Member Vik Renjen, intelligent automation is defined as the combination of AI and Robotic Process Automation (RPA) used to mimic the behavior of the customer by using applications to find and transform data into business processes and workflows. In customer service, intelligent automation can be used to capture valuable data that supports and manages customer interactions automatically.

What are the Benefits of Intelligent Automation in Customer Service?

AI doesn’t have to replace humans in customer service, rather, it can be used as a supplemental tool for providing necessary information and assistance to customers and agents alilke. Here are some of the benefits that come with intelligent automation in customer service:

Improved Scalability
Chatbots, one form of AI that can be beneficial, help organizations scale their services to more people than they would be able to provide through live agents alone. These bots can be used to collect information from customers, suggest automated responses and assist agents along the customer journey. They can also answer simple questions, such as those around business hours, return policies, order status and more.

Increased Attention to Conversation Wants and Needs
Intelligent automation can be used to pinpoint topical keywords throughout a conversation to better assist the customer. One of the customer service features available in the Kustomer platform is Automated Conversation Classification, which uses intelligent automation to categorize conversations via machine learning, so that the conversation is immediately routed to the most appropriate agent to properly meet his or her specific wants and needs.

Improved Resourcing Processes
AI can also be used to predict conversation volume during certain periods to assist management in delegating work and managing staffing requirements. Additionally, AI can be used to track how well agents are performing; with an understanding of how much “work” AI is handling, and where agents are falling short, management can get insight into the knowledge of the agent and provide training or additional resources based on the information.

How Kustomer Can Help

Intelligent automation is a key factor behind Kustomer’s ability to serve its clients and their customers. Kustomer uses Kustomer IQ to automate time consuming processes and provide teams with valuable insights, so that businesses can provide consistent, personalized customer service in a timely manner.

Interested in learning more about Kustomer’s solution to your current customer service platform? Contact us directly today to get started.

3 Ways Customer Service Teams Must Adjust During COVID-19

3 Ways Customer Service Teams Must Adjust During COVID-19 TW

Life has become a series of trade-offs and workarounds in light of the pandemic. Curbside pick-ups are my new norm. My inbox is a litany of order confirmations and estimated delivery times. Last weekend, I drove to a local hardware store and found the following handwritten message on a sign at their front door: “Know what you want. Get in and get out.” At times, my interactions with people feel purely transactional.

The world has changed, and customer service is changing right along with it. Businesses are being challenged with a paradoxical conundrum: how do we retain our humanness? How do we maintain trust in a time of uncertainty? Below are three ways customer service teams must adjust in light of the global pandemic.

Empathy Is #1.

Companies who approach customer service with a deeper level of empathy are more likely to maintain loyalty and win new business. This concept is not a newfound revelation. In fact, The Empathy Business has studied the efficacy of empathy in business for years. And what have they found? Organizations that focus on the “emotional impact” they have on employees, customers, and society are valued higher and earn more than their counterparts.

In the world of COVID-19, empathy is even more desperately needed. Quarantine measures and social isolation mean a rise in loneliness and other mental health issues. Think about it this way: what if your organization delivers the only social interaction an individual will experience for a full day? Armed with that information, how should you change your customer journey?

Start small. Use your data. Study the way your customers use your tools and services. Where are they running into roadblocks? Where are you making your customers’ lives easier? Take note and adjust. Document your FAQs in an accessible location, like a Knowledge Base. Have the patience to clearly explain the nuances of your business and policies. Above all else, practice kindness in all of your communication.

“One-Size-Fits-All” Won’t Succeed.

As the pandemic spreads, we’ve seen a spike in conversations for many of our clients. And according to a recent survey by Kustomer, there has been a 17% increase in inquiries across industries. With this influx in communication, it no longer makes sense to force every customer to call the same number to contact your company. Instead, it’s time to get smart about the channels you employ to manage customer interactions, and it’s time to invest in a fully-fledged omnichannel experience.

But beware: you should avoid blindly adding new service channels without a strategy in place. Dig deep into your customer personas and understand their respective beliefs and behaviors. McKinsey notes that “not all customers are the same, and it’s how they differ in their behavior and preferences—particularly on digital—that should have an outsize influence on how service journeys are designed.” Keep this in mind, too: a small percentage of customers — classified as the “offline society” -— may suddenly be forced into adopting digital communication in light of shelter-in-place orders. Take these different customers into account when adapting your customer service strategies.

Automation Is a Necessity, Not a Luxury.

As we’ve seen an increase in the number of inquiries, we’ve also seen an increase in the need for artificial intelligence and machine learning technologies. Agents can become easily overwhelmed by an onslaught of new messages. AI can automate some of the more tedious tasks that those agents might encounter, thereby freeing their time for more important work.

Consider how you can deflect commonly asked questions and save your agents valuable time. Let’s say you’re an airline in today’s world. With the rise of the pandemic, you’re being flooded with requests for information about your refund policy. Instead of directing your team to answer each inquiry individually, you could use automation to serve up pre-written articles that align with the inquiry’s keywords. Not only do you protect your team’s time, but you also deliver a better customer experience as customers receive near-instant answers to their questions. Beyond that, unsuccessful deflections can provide a treasure trove of data to guide your future content.

Those who adapt and adjust their strategies now can influence their fate in the post-pandemic world. The opportunity is there. We have to be good stewards of our time and resources to capitalize on it.

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