Robotic Automation

Discovering the Value of Attended Automation as a Digital Transformation Tool to Enhance the Productivity of Remote Agents

It was a transition that was already in progress before the current emergency unfolded. The migration to a reduced population of work-at-home agents, coupled with the unprecedented spike in demand for information, has dramatically accelerated the need for digital transformation. While just about every business already knew it had to digitize its operations to remain competitive, many are now scrambling to get up to speed.

Three key process automation technologies: Robotic Process Automation (RPA), Cognitive Intelligence and Attended Automation are the core elements in any digital transformation initiative. Attended Automation is the orchestrator that binds them together by ensuring that agents are aligned to both customer-facing and back-office processes. It acts as a kind of digital personal assistant to all employees, giving them real-time, context-specific guidance when needed in interaction processes.

In its truest form, Attended Automation is comprised of software robots that reside in each employee’s desktop. These robots have cognitive intelligence that enables them to navigate the dynamic desktop environment: a robust functionality that empowers them to bubble up when they sense an employee needs guidance. They communicate with employees via intelligent, interactive screens that are fully customizable.

When businesses adapt Robotic Process Automation (RPA) or chatbot solutions to support both the automation of repetitive tasks and the accessibility of self-service channels, the central focus will continue to be on humans. It is live people who are responsible for the proper functioning and sustainability of these solutions. Applying Attended Automation technology to customer-centric operational processes further augments the role played by humans.

Attended Automation was initially designed to work in collaboration with live agents to enable them to focus on high-value tasks that require a human touch. But with the need to keep business continuity in crisis mode becoming the new norm, it has also become a tool to allow people to achieve their full potential while helping them adjust to organizational change. This in turn helps companies maintain service consistency and process efficiency while keeping their growing number of remote agents on-target.

Learn more about the benefits by attending a complimentary webcast presented by NICE on CrmXchange on Tuesday, May 19 at 1:00 PM ET. It’s entitled “Keep Your Remote Agents Engaged and Productive with Intelligent Attended Automation” and will be delivered by Karen Inbar, Director of Marketing for NICE Advanced Process Solutions, an expert with a 20-year track record in the high-tech field, including stints at leaders such as Microsoft and SAP.

Among the topics she will address include using intelligent attended automation to:

  • Positively impact service operations and consistent delivery within a new distributed working environment.
  • Enable remote agents to adapt to their new working environment during an uncertain and turbulent period.
  • Practical ways in which intelligent Attended Automation helps agents stay informed, productive and empathetic to customer issues.

Register now at no cost for this timely and informative webcast. If you are unable to at attend the live session, a link to the webcast will be posted within 24 hours of the presentation.

Can we build machines that understand us?

Tobias Goebel,  Mar 2020

The question of whether we can build machines that truly think is a fascinating one. It has both practical and philosophical implications, and both perspectives answer a key question very differently: how close to the real thing (human thinking) do we need to get?” In fact – does rebuilding the exact human ways even matter? And are we too easily impressed with anyone claiming they have accomplished this Franksteinian feat?

From a purely practical perspective, any machine that improves a human task on some level (speed, quality, effort) is a good machine. When it comes to cognitive” tasks, such as reasoning, or predicting what comes next based on previous data points, we appreciate the help of computer systems that produce the right outcome either faster, better, or more easily than we can. We do not really care how they do it. It is perfectly acceptable if they simulate” how we think, as long as they produce a result. They do not actually have to think like we do.

The question of whether machines can truly think has become more relevant again in recent years, thanks to the rise of voice assistants on our phones and in our homes, as well as chatbots on company websites and elsewhere. Now, we want machines to understand — arguably a different, more comprehensive form of thinking. More specifically, we want machines to understand human language. Again we can consider this question from two different angles: the practical, and the philosophical one.

John Searle, an American professor of philosophy and language, introduced a widely discussed thought experiment in 1980, called The Chinese Room. It made the argument that no program can be written that, merely by virtue of being run on a computer, creates something that truly is thinking, or understanding. Computer programs are merely manipulating symbols, which means operating on a syntactical level. Understanding, however, is a semantical process.

Searle concedes that computers are powerful tools that can help us study certain aspects of human thought processes. He calls that weak AI”. In his 1980 paper, he contrasts that with “strong AI”: But according to strong AI, the computer is not merely a tool in the study of the mind; rather, the appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to understand and have other cognitive states.

Cognitive states are states of mind such as hoping, wanting, believing, hating. Think (sic!) about it: proponents of strong AI, and they do exist, claim that as soon as you run an appropriately written computer program (and only while it is running), these computers literally are hoping, are wanting, etc. That surely must be a stretch?

Searles thought experiment is summarized by him as follows:

Imagine a native English speaker who knows no Chinese locked in a room full of boxes of Chinese symbols (a data base) together with a book of instructions for manipulating the symbols (the program). Imagine that people outside the room send in other Chinese symbols which, unknown to the person in the room, are questions in Chinese (the input). And imagine that by following the instructions in the program the man in the room is able to pass out Chinese symbols which are correct answers to the questions (the output). The program enables the person in the room to pass the Turing Test for understanding Chinese but he does not understand a word of Chinese.

Goebel Cartoon

This is a simple but powerful thought experiment. For decades now, other philosophers have attempted to shoot holes into the argument, e.g. claiming that while the operator him- or herself might not understand Chinese, the room as a whole actually does. Yet all of these replies are eventually refutable, at least according to Searle, so the argument is being discussed and studied to this day.

Strong AI is of course not necessary for practical systems. As an excellent example of that, consider the social chatbot Mitsuku. (A “social bot” has no purpose other than to chat with you, as opposed to what you could call functional or transactional chatbots, such as customer service bots.) Mitsuku is a five-time winner (and now a Guinness World Record holder) of the Loebner Prize, an annual competition for social bots. She is entirely built on fairly simple “IF-THEN” rules. No machine learning, no neural networks, no fancy mathematics or programming whatsoever. Just a myriad of pre-written answers and some basic contextual memory. Her creator is Steven Worswick, who has been adding answers to Mitsuku since 2005. The chatbot, who you can chat with yourself, easily beats Alexa, Siri, Google, Cortana, and any other computer system that claims it can have conversations with us. (Granted: none of the commercially available systems do claim that social banter is their main feature.)

Certainly, Mitsuku by no means aims to be an example of strong AI. It produces something that on the surface looks like a human-to-human conversation, but a computer running the IF-THEN rules is of course nowhere near a thinking machine. This example, however, shows that it neither requires a machine that “truly thinks”, nor a corporation with the purchasing power of an Amazon, Apple, or Google, to build something that serves a meaningful purpose: a single individual with a nighttime and weekend passion can accomplish just that. And Mitsuku, with its impressive ability to chitchat for long stretches of time, is meaningful to many, according to the creator.

Goebel Mitsuku Graphic

 

It is easy to get distracted by technological advancements and accomplishments, and the continuous hype cycles we find ourselves in will never cease to inspire us. But let’s make an attempt to not let them distract us from what fundamentally matters: that the tools we build actually work, and perform a given task. For chatbots, that means that they first and foremost need to be able to have a meaningful conversation in a given context. Whether they are built on simple rules or the latest generation of neural network algorithms shouldn’t matter. Despite that concession, it will probably remain forever human to marvel at advances towards solving what might be the biggest philosophical question of all: can we ever build a machine that can truly understand?

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.

 

Robotic Process Automation: Bridging the Widening Gap Between Customer Demand for Service and Real-Time Agent Availability

Driven by the instant gratification offered by ubiquitous handheld devices, consumers want all their issues resolved a minute ago and any other questions answered instantly. In the current contact center environment, these constantly rising expectations have reached a level where it’s simply no longer always humanly possible to meet them.

While call routing and scheduling software are constantly improving, even these solutions have difficulty keeping up with the demand for agent availability in real-time. Add in the ongoing corporate mindset of lowering costs and keeping headcount to a minimum and you often have the proverbial irresistible force meeting the unmovable object.

Fortunately, there is a rapidly emerging technological transformation that is changing this seemingly insoluble equation. Robotic Process Automation (RPA) gives companies the capacity to meet the growing challenges of maintaining service levels while improving efficiency and providing greater bandwidth. RPA automates the routine, repetitive and time-consuming tasks that can slow contact centers down to a crawl, enabling front-line personnel to pay greater attention to more complex interactions that require empathy and a human touch in decision-making.

The improvement starts from the point of contact. In traditional contact centers, when a customer reaches the agent, he or she needs to identify them within the system to get the necessary information such as status, order number, pending support tickets and more This puts the agent in the awkward position of having to interact with the customer while simultaneously toggling from one system to another. Multiple logins can also further slow down the agents, as can silos pertaining to different systems.

By implementing RPA, contact centers can significantly diminish the time required to identify a customer in the system, viewing all necessary details associated with them in one screen. When customers don’t have to wait for the agent to load all the details, it reduces the average call duration, contributing to an improved customer experience.

In addition, the technology can make it far easier to make necessary data updates to a customer’s account during an interaction. Instead of having agents entering data manually across multiple fields in different systems — a tedious and error-prone process– RPA enables integration of data across various fields of associated systems using a single agent entry. RPA can create auto-fill templates that enable simple copy-pasting of information, with limited human intervention. Integrations with CRM and other third-party tools almost totally eliminate the need to spend time on cross-application desktop activities. RPA can also help consolidate customer information over a variety of channels, giving agents information they need to help the customer no matter what touch point the conversation is taking place on.

What is the economic impact of RPA for businesses? According to a KPMG study, use of RPA in financial institutions can help reduce operational costs by as much as 75%. “In terms of its potential to reshape the economy, it will be as significant as the Industrial Revolution,” said noted industry analyst Donna Fluss, president of DMG Consulting “It’s going to create a whole new class of employees, a technically savvy generation of workers coming from the Millennial and Generation Z cohorts. The AI/RPA revolution will be a game changer for companies that welcome the opportunity to improve the timeliness and accuracy of their work processes.”

Fluss will present a detailed analysis of the economic advantages, operational efficiency gains and customer experience enhancements made possible by RPA in a complimentary CRMXchange webcast on Wednesday, October 16 called “Attended Robots Improve Productivity and Agent Efficiency.” Among the topics covered will be

  • An explanation of what RPA entails and present top use cases in the contact center
  • A discussion of the effect of RPA on employees
  • An outline of best practices for implementing RPA

The webcast, sponsored by NICE, is complimentary and those unable to attend it live can download it approximately 24 hours after it is completed. Register now.

2018 Contact Center Trends: Punching Through the Barrier.

By Bright Pattern

Customer experience (CX) ran out of steam in 2017. Almost all companies have by now realized that CX is the differentiator and customers value the experience above almost everything. Enormous effort and resources have been thrown at CX, and there have been huge gains. But according to Forrester’s 2017 CX IndexTM, CX quality plateaued or declined for most industries and companies.

It’s plain to see why. CX was a classic land grab where companies found it easy to deal with obvious problems. But now the hard work begins. Customers are getting used to enhanced experiences and want better and better service. Companies will need to keep up with these expectations or fall farther behind. Forrester is predicting that in 2018, 30% of companies will see further declines in CX performance, which will mean declines in growth or worse.

So are we going to stay put or decline? Or are we going to punch through to the next level? 2018 will be the year where this is decided. So what will be the big stories? How will technology and automation advance the customer experience? Here’s what we think will be the trends in 2018.

 

Artificial Intelligence – It’s going to get real, very fast

In the years running up to 2018, AI has been the solution to almost any problem. And for good reason: chatbots, robotic process automation, and virtual assistants have transformed customer experience and expectations, and have changed the roles of customer service agents for the better. But now the rubber meets the road. The early gains were made by applying AI to existing business operations. The true growth moving forward will be to use AI to invent new ways to interact with the customer, reinvent business processes, and create whole new markets for products and services.

A Forrester survey tells us firms’ investment in AI rose 51% in 2017. But 55% of firms have not yet achieved any tangible business outcomes from AI, and 43% say it’s too soon to tell. That’s because AI is not a plug-and-play proposition. Unless firms plan, deploy, and govern it correctly, new AI tech will provide small benefits at best or, at worst, result in unexpected and undesired CX-related outcomes. If CIOs and chief data officers (CDOs) are serious about becoming insight driven, 2018 is the year they must realize that simplistic approaches will only scratch the surface of possibilities that new tech offers.

Take machine learning for example. Companies are quickly realizing that, ironically AI requires huge amounts of human input. Agents are tagging text and speech, customer interactions. Companies are using their customers to teach their AI, and sales reps are training the AI rather than relying on out-of-the-box learning. Add to this the data hygiene and knowledge management required to keep an automated system up to date, and you will see an enhanced adoption of the blended AI model for 2018 where humans play a critical role in constantly perfecting AI to improve the customer experience.

Bright Pattern is a leader in this blended AI trend and automating with a human touch. For instance, our APIs allow bots to integrate with IBM Watson, Reply.ai, and Alterra to provide human-like interactions that can be switched to a live agent at any time. The agents also have internal assistants and bots that use AI to guide them through the call, offer suggestions, track tone and sentiment using cognitive analysis technology and natural language understanding.

 

Digital Transformation Needs to Pick up Speed

There are now heightened expectations from the customer and companies need to rise to meet them. Digital transformation is the key to making this happen. But it’s not happening at a quick enough pace.

According to Forrester, up to 60% of executives feel they are lagging behind with their digital transformation initiatives. The trend for 2018 will be that digital transformation moves from just an IT or CIO issue to become the responsibility of the entire organization. Thinking will change, it will no longer be looked at as an investment that gets a return. Digital transformation will be seen as the one thing that will keep the company alive. In fact Forrester also has a sobering statistic for this: 20% of CEOs will fail to act: As a result, those firms will be acquired or begin to perish.

 

Moving to the Cloud Will Become Even Safer

Here’s some good news! The cloud is going to get even more business-friendly in 2018. We all know that moving to the cloud provides a way to avoid capital investment in volatile technology and focus on core competencies. And it enables companies like Bright Pattern to provide rapid innovation delivery, instant upgrades and provide integrations with other cloud systems.

Every tennant on the Bright Pattern Call Center solution enjoys the very latest, most advanced version of out software. This includes data, configuration, user management, and tenant individual functionality. Every company, department and user is on the same version and the latest patch level.

And, we offer the insurance of an on-premises option using exactly the same cloud software for call centers, ensuring an additional level of control. Moreover, switching to an onsite option or back to the cloud is as easy as downloading the export file of your account and uploading it into another system.

The cloud will continue to be a dominant force in the digital transformations of virtually all successful companies. With continued innovation from Bright Pattern, we do not see this trend losing steam in 2018.

Self Service is about to get personal

Personalization will be key for companies looking to keep up with customer expectations. The empowered customer is now king, but they do not want to have every option available to them at all times. Their time is precious and they want to have a self-service experience that is hyper-relevant to them.

Companies who know what product a customer has for instance, will be able to serve up a limited set of options and disregard the irrelevant. They will learn which channels a customer prefers and route them without having to ask. Organizations that take customer experience seriously through personalization will stand out from the noise and create loyal customers.

 

The Employee Experience Will Be Enhanced, Not Just the Customer Experience (EX=CX)

The customer service employee experience is changing rapidly, so companies need to find ways to ensure that their agents are well motivated and rewarded for taking on new responsibilities. As blended AI becomes more prevalent, the role of the agent or customer service representative will change. Forrester predicts more and more agents will quit because of work overload. An example of this trend would be tagging. A live chat agent can look through a chatbot transcript to see where the chatbot didn’t understand the customer. The agent can tag an intent to that particular phrase. This additional task adds to an already complex list of responsibilities, applications, and processes that today’s agent must own, use, and follow. Without the right tools companies put employee experience at risk.

Bright Pattern provides the most effective agent desktop in an all-in-one call center app, which offers a decluttered user interface that selects and displays the most relevant information based on context. Higher levels of employee and agent engagement are known to improve the customer experience.

 

Automation Spreads From the Back Office to the Front Office

The big news in automation for 2018 will be the migration of many tried and tested robotic processes from the back office to help out in the front office. Automation will enable agents to focus on helping customers and spend less time on navigating systems or post-contact wrap up. Additionally, automation at the desktop will improve quality by decreasing errors of manual data entry, reducing rework, and decreasing complaints. Reducing manual tasks allows for a better focus on listening to the customer, empathizing, and providing a frictionless experience. In 2018, we’ll see better collaboration between the front- and back office, and see the almost immediate ROI that robotic process automation has traditionally been known for.

Channel Proliferation is a Party That Won’t Stop

It’s not news that consumers like to interact in the channel of their choice. And that channel can change on a whim and by the second. A conversation started in a messaging platform can migrate to a call that can shift to an email and back to a message. But companies need to do a better job of offering a true omni channel experience. According to Dimension Data and their 2017 Global Customer Experience Benchmarking Report, only 8% of organizations say that they have all of their channels connected and, in fact, as many as 70% say that none or very few of their channels are connected.

And new channels are coming on stream all the time. Customers are communicating with brands using just emojis. Video chat is starting to be adopted. Screen Sharing, virtual assistants, in-app messaging will all continue there rise in 2018.

The big news here is that this explosion of customer expression will not be stopping any time in 2018. So how can a company keep up, let alone stay ahead?

The simple answer is to have a simplified multichannel setup for call center managers to enable a true omni channel communication style. In practice this means a conversation must be able to be continued when switching or changing channels. It means adding a messaging or content channel to an existing communication is a must. And finally the rich context of the conversation must be maintained at all times.

To do this in 2018, you must have the agent tools to simplify multi channel interaction handling. Bright Pattern has created a web-based agent desktop to make multichannel communication seamless. It keeps all the information needed in the visible portion of the desktop, it intelligently extracts the relevant elements of context to display eliminating switching, alt-tabbing, and scrolling through long pages, and it transparently rearranging the desktop when the the conversation changes from one channel to another.

Conclusion

2018 is going to be a big year of disruption for the contact center. The technology that’s coming online and the shifting attitudes of business leaders will lead to some huge developments. At Bright Pattern we are well aware and well prepared for what’s to come. Because just like you, the expectations of our customers will not stop growing.

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.

5 Ways RPA Enhances the Contact Center

Robotic process automation (RPA) uses software and robots to capture and parse data. In the contact center, RPA supports the IT department and streamlines workflows. Though some feel that jobs will be lost to RPA, the more likely outcome is that RPA will elevate contact center performance and help live agents deliver better, richer service. Here are five ways that RPA enhances the modern contact center.

1. A large volume of data can be moved quickly.

There are many reasons why contact center data may need to be moved: if the data comes from various databases but has to be combined in order to carry out a process; if databases have to be filled in with bulk information; or if data has to migrated from an old application to a new one. RPAs can manipulate data incredibly quickly, whereas manual entry would take up far too much time.

2. The customer experience is improved.

Having to ask for the same information more than once is frustrating for both the agent and the customer. RPA is able to collect information at the start of a query, then immediately add the data to any of the platforms the agent will be accessing. By eliminating the need for extra data entry, the agent can solve the customer’s problem quickly and move on to the next person in the queue.

3. Desktop automation improves employee confidence.

Rules-based desktop automation can handle specific employee tasks, turning employees into decision-makers instead of sidetracking them with basic duties like filing and updating customer information. When employees feel that they’re needed for complex issues, they’re more likely to be engaged with their job and devoted to customer satisfaction.

4. Time is maximized.

RPA allows for real-time data collection and analysis because it’s able to process information in mere seconds. Moreover, data processing via RPA is accurate, eliminating the need for time-consuming corrections. The contact center’s analysts can then devote more time to completing higher-level tasks.

5. Workflows are optimized.

There are numerous optimizations that result from RPA. Live agents can handle customers who need personalized attention. First Contact Resolutions rates are improved, as is accuracy. Following up with customers is also streamlined.

RPAs are bound to become the standard in contact centers. Knowing how to work with them and designing your processes around automation will help propel your customer service forward.

4 Trends that Improve the Customer Experience

When customer service teams want to differentiate themselves from the rest, they focus on improving and optimizing the customer experience. Companies are more than willing to go above and beyond for the sake of meeting and exceeding customer expectations. Here are four trends that will help distinguish your contact center.

Relying on Artificial Intelligence

Artificial intelligence (AI) is everywhere, from video games to the automobile industry. Customer service has been impacted by the increase in AI, too. This technology can be used to chat with customers about easy-to-solve issues, which frees up live agents for more difficult and complex matters. Automation with AI can reduce customer wait time, interact with customers and collect important data for the contact center to later analyze.

Implementing an Omnichannel Strategy

One major gripe that customers have is repeating themselves to various customer support agents in order to get an answer or have a problem solved. Channel integration isn’t the same as omnichannel service. Today’s companies can’t just respond to a customer, they have to know as much as possible about the customer and their problem beforehand in order to provide customized, relevant support. Customer service requires empathy and a human touch in order to connect meaningfully to the customer.

Analyzing Big Data

While much of the customer experience is about interaction and communication, big data still has a pertinent place in understanding customer behavior. Big data can actually help the contact center connect on a more personal level with customers. There’s so much information that can be tracked now, from customer behavior at every point of the journey to customer preferences regarding any number of attributes. Data helps customer support do things like figure out what a customer is going to want before they even ask for it and determine the best way to reach a customer on the channel of their choice.

Providing Real-Time Communication

Using things like AI, which can automate several processes, and ominchannel strategies, which can cut down on the length of time it takes to solve a problem, gives customer support agents the extra time to handle some queries personally. Real-time communication, specifically via mobile and social media, is in demand, especially by younger generations who are used to communicating in these ways. Being able to provide immediate support improves the customer experience and builds trust in customers.

3 Tips for Implementing Robotic Process Automation

Robotic process automation (RPA) benefits the contact center as well as the customer. Behind the scenes, RPA can replace manual processes while increasing efficiency, make the most out of software, and eliminate the need for outsourcing. For the customer, RPA improves their experience and gets them answers as quickly and accurately as possible. However, RPA is only as good as your business process strategy. Here’s how to implement RPA so that it works as well as possible for the contact center as well as the customer.

  1. Pinpoint Which Processes Can and Should be Automated

Certain business processes will adapt better to RPA than others. Transactional processes are often a better fit for RPA than processes that require a judgement call. For example, a bank may automate the closing of fraudulent accounts so that there’s no time delay between when a fraudulent account is detected and when it’s closed. On the other hand, some aspects of social media customer service can come off as disingenuous when automated, making it a better option to have a team of agents who are responsible for responding to unhappy customers on social media.

  1. Stack Sub-Processes to Create a New Automation Model

Using RPA for one main goal may require several sub-processes that work together. The benefit of RPA is that it can be customized to the individual contact center’s business processes and needs. If you’re not reaping enough value from a current formula, consider splitting it up into sub-processes that build on one other. By tweaking the sub-processes to make them more effective, the overall result may improve.

  1. Test the RPA Plan Before Deploying It

No matter how sure you are that the new RPA plan is ready to be implemented, try it out during a pilot phase first. Involve the people who will be part of the program once it’s officially rolled out. You’ll have time to see how effective the plan is in real-time before replacing your current processes. The results of the pilot program will show you where improvements need to be made, if any.

RPA has a host of benefits, including reducing average handling time, improving agent productivity and limiting the time needed to train new agents. Only when RPA is setup correctly, though, can it help the contact center in these – and even more – ways.