Posts

Customer Service Week Musings: How does a machine know if it’s wrong?

By Laura Ludmany, Knowledgebase Engineer

There are many comparisons dealing with the main differences between humans and machines. One of the recurring points is while humans have consciousness and morals, machines can only know what they are programmed to, hence they are not able to distinguish right from wrong unless they are provided data to make decisions based on that information. There have been many discussions on the self-awareness of robots, which is a topic as old as Artificial Intelligence, starting from Isaac Asimov’s three laws of robotics, continuing to the Turing test and nowadays AI ethics organisations.

One thing is commonly agreed – bots need to be ‘taught’ morals, and to achieve this there could be two approaches, both having their advantages and disadvantages. The first one contains a loose set of rules, but plenty of space for flexibility; this system could always reply to questions. However, it could also result in many false positives cases and could go wrong on many levels. The other would mean more rules and a narrower approach. The system could answer a limited number of queries, however, with very few or non-false judgements.

What does this mean from the customer service and customer experience (CX) view and for virtual agents answering real time customer queries? If we narrow down our conditions, bots would deliver the right answers at most times. However, they could not recognise many simple questions, making users frustrated. The same can happen with the loose set of conditions: the assistant would easily deliver answers but could misinterpret inputs, resulting again in annoyance.

To solve this problem, we must use a hybrid approach: an AI tool can only be trained appropriately with real-life user inputs. While we can add our well-established set of rules based on previous data and set a vague network of conditions, the bot will learn day-by-day by discovering new ways of referring to the same products or queries through user interactions. Half of a virtual assistant’s strength is its database, containing these sets of rules. The other half lies within its analytics, which is an often-overlooked feature. What else could be better training for a CX tool than the customers leaving feedback at the very time an answer was delivered? Conversation surveys are not only important to measure the performance of the tool. They are also crucial for our virtual assistants to be able to learn what is wrong and what is right.

Our approach at Creative Virtual to reporting is to follow the trends of ever-changing user behaviour. We offer traditional surveys, which measure if a specific answer was classified as helpful or not by the user and if it saved a call. Sometimes, the specific required action or transaction cannot be performed through self-service options and the customer must make a call, or else, the answer has been slightly overlooked and needs to be updated – for these cases there is a designated comment section, so users can express themselves freely.

We all know from personal experience, that we can’t always be bothered to fill out long or detailed surveys – we are on the go and just want to find the information we were looking for without spending extra time to leave feedback. This is typical user behaviour, and for this we came up with different options for our clients such as star ratings and thumbs up and down, keeping the free text box, to make the rating simpler for users. The solutions deployed are always dependent on the requirements and preferences of our clients, which are in line with the nature of their business and their website design. For example, financial organisations usually go with the traditional options for their customer-facing self-service tools, but internal deployments often have more creative user feedback options.

What if, during a conversation, a virtual assistant delivered the correct answer to five questions, but two answers advised the user to call the customer contact centre and one answer was slightly outdated? Does this rate as an unsuccessful conversation, due to three unhelpful answers? To solve this dilemma, we have End of Conversation Surveys, which ask customers to rate the whole conversation, on a scale to 1-10 and choose what they would have had done without the virtual assistant. As always, there is a free text box for further communication from the customer to the organisation. These surveys show high satisfaction levels as they measure the overall success of the conversation, which can have some flaws (just as in human-to-human interactions), but still can be rated pleasant and helpful.

Let’s take a step further – how can the virtual assistant learn if it was right or wrong if none of these surveys have been taken up by the user? Is this valuable data lost? Our Creative (Virtual) analytics team have levelled up their game and came up with a solution! During voice interactions, such as incoming calls to customer contact centres, there is a straightforward way to understand if the conversation wasn’t successful, even if it wasn’t stated explicitly, as the tone might change or the same questions might be repeated. But how can we rate a written communication with our customer? There has been a specific platform developed, which sits on the top of our previously described survey layers. This platform classifies the whole conversation, with a carefully weighed several-factor-system, which can be tailored to our client’s needs, containing factors such as if there has been more than one transaction, whether the last customer input was recognised by the virtual assistant, if there have been negative user responses recorded, etc.. The primary ‘hard’ indicators remain the user-filled surveys, so this is just a nice icing on the cake, as our mature deployments show over 80% of successful conversation rates.

With our proactive approach and multi-layer analytics tool sets, we can be sure that our virtual assistants will learn more and more about what is right and wrong, to increase the customer satisfaction level continuously. However, I think no machine will ever be able to answer all questions correctly, as this would mean that deployments have stopped being fed up-to-date real-life data. Our world is changing rapidly as are our user queries. These cannot be fully predicted ahead, just analysed and reacted to appropriately. As long as AI tools serve customer queries, they will always face unknown questions, hence they will never stop learning and rewriting their existing set of rules.

As we celebrate Customer Service Week this year, we need to recognise the role customers play in helping to teach our AI-powered chatbots and virtual assistants right from wrong and the experts that know how to gather, analyse and incorporate that data to help train those tools. Check out our special buyer’s guide that explains why experience matters for using this hybrid approach to create reliable and always learning bots.

Harnessing Human and Machine During the Pandemic

By Rachel F Freeman, Operations Director

A direct quote of the explanatory theme for this Customer Service Week says: “The impact of events affecting the world today have changed the way in which companies and their employees engage with customers.”

Indeed this is true, and all of us in our businesses and in our personal lives can feel the effects of how services of all kinds have altered in ways ranging from barely discernible to completely different (filling out forms, having temperatures taken, tape and measurements of distance being assessed amidst a lot of Perspex dividers). A main thing that became apparent in call centre scenarios was that call wait times for an array of customer services were much longer and users still are advised in recorded messages that “due to Covid-19” call wait time may be impacted.

I can testify that I’ve never had to wait 25-30 minutes to speak to a representative for whatever service I needed before Spring 2020 but experienced that exact scenario at least four times in the past few months. Speaker phones have never been so handy so that one can do other tasks whilst being on hold for extended periods of time!

Cue the virtual agents, chatbots and virtual assistants. Now more than ever before it is a no brainer that online self-help tools that are available 24/7 should come into their own in this period of uncertainty and continued delays blamed on Covid. Self-help tools need not be subject to the same rules of quarantine which makes them more reliable when it is impossible to predict when humans will be available to handle and field queries based on who is in the office and who is self-isolating.

Now more than ever, in the spirit of seamless customer experience, let’s let the self-help tools do what they are designed to do. Let’s let them share the burden of the increasing pressure on call centre agents and take advantage of them working to their fullest potential. Let’s give the machines space to help, freedom to work whilst the humans that are healthy can spend time not only speaking to customers who truly need a human but also to check in from time to time on the accuracy of the responses of the virtual agent. A smart combination of self-help and human guidance creates confidence that the job will get done with the right tools.

We’re all being told to stay safe and be alert – so let’s work in parallel with the tools to help make that happen. We can enable more efficient customer service interactions whilst at the same time prioritising the health and well-being of both customers and employees.

Check out the Neutrino release of V-Person™ to learn how Creative Virtual is delivering some of the most up-to-date and seamless self-help tools available. Also download the ‘Conversational AI Trends 2020’ ebook from AI Time Journal for virtual agent success stories during the pandemic.

The way companies and their employees are engaging with customers may have changed significantly this year, but with the right tools a positive, seamless experience is possible. This Customer Service Week let’s celebrate both the people and the technology that are delivering safe and seamless customer support in this period of uncertainty.

Satisfy Your Curiosity About Deploying AI Virtual Agents and Chatbots

By Mandy Reed, Global Head of Marketing

Do you have a chatbot or virtual agent on your roadmap? Do you need to upgrade a poor performing self-service tool? Are you curious about successful use cases for AI-enhanced virtual agents?

If so, you’ll want to reserve your spot now to join Creative Virtual and Engage Customer for their upcoming webinar, Tips for Deploying AI Chatbots & Virtual Agents.

On Thursday, 4 June 2020 Chris Ezekiel, Founder & CEO of Creative Virtual, will join Steve Hurst, Editorial Director at Engage Business Media, for this live webcast. Through a series of live demonstrations, they’ll explore:

  • Best practices for deploying and optimising conversational self-service
  • Questions to ask when selecting a chatbot or virtual agent solution
  • Tips for using AI and machine learning to improve performance
  • Guidelines for implementing seamless handover to live chat
  • Current live use cases and results from organisations around the world

Advancements in chatbot, virtual agent and conversational AI technologies have made them a go-to solution for providing easy-to-use and cost-effective customer support on digital channels. Customers are becoming more comfortable with using self-service options and appreciate being able to get help instantly at any time of the day or night. Companies benefit from reducing demand on contact centre agents and improving their customer experience.

The realities of the ongoing global pandemic have placed an increased pressure on organisations’ digital channels, including their existing virtual agent solutions. For many companies, the flexibility and robustness of their digital strategy is going to play a key role in how they maintain and build customer loyalty during this time and in the future. Offering reliable self-service is an important piece of that strategy.

Register now for the webinar Tips for Deploying AI Chatbots & Virtual Agents to learn more. Can’t attend the live event? Don’t worry, a recording will be sent to all registrants after the webinar.

You can also request a personalised demo to see how Creative Virtual’s technology can help you deliver seamless, consistent self-service and improve customer loyalty.

The Ever-Changing World of Customer Service Chatbot Creation

By Jeff Clifford, Project/Account Manager

I started building virtual agents and chatbots for customer service more than 12 years ago. A lot has certainly changed in that time. I talked about some of the changes in my Meet the Team interview a couple of years ago, but the industry has continued to evolve since then.

In my experience, there has been a major shift in customer expectations since 2015/2016 in the customer service chatbot industry. Pre-2014, most companies were looking to deploy chatbots that were pretty straight forward and consisted largely of FAQs, scripted conversation flows, keywords and a flat or standard UI. Some forward-thinking organisations were exceptions to that, and Creative Virtual worked with companies that took their solutions to the next level with innovative functionality like account integration to give personalised answers to logged in users.

Now, as we approach the end of 2019, chatbots and virtual agents are increasingly becoming the face of company help centres. Simple chatbot implementations are no longer enough to meet customer expectations. Customers also now expect self-service on new channels, such as Facebook Messenger and Amazon Alexa, that weren’t popular for customer service even a few years ago. The look of chatbots has also changed, with many companies now embedding their virtual agent into their own UI to give a cleaner, streamlined look and experience.

While previously personalised self-service was a major differentiator, now customers expect an experience tailored for them. Chatbots designed for enterprises have the features, functionality and integration options to deliver that. For example, chatbots are able to detect a customer’s language and country via integration with their user profile. This means the chatbot can display the user’s preferred language and can also return location-specific responses, such as a correct payment cut-off time that varies by country or time zone. Chatbots can also provide customised responses depending on where it was launched from, such as a section of your website about a particular product or service.

The goal of a seamless, omnichannel experience is becoming standard practice in organisations. Chatbots that can be deployed across channels are helping companies move away from a siloed approach to their customer service. When backed by the right orchestration platform, a single knowledgebase can be used across all channels while still delivering a specific answer based on the user’s device (such as a shorter answer on a mobile). A tight integration with live chat allows the virtual agent to pass a user over to a live agent seamlessly in the same panel while in the background passing over a full history of the conversation.

Perhaps one of the biggest changes in the chatbot industry is the use of more artificial intelligence (AI), and companies now want a chatbot that has AI capabilities. A good chatbot technology brings together different methods including semantic algorithms, deep learning, neural networks and machine learning in a way that still gives companies control. Chatbots are able to learn customer behaviours based on how users interact it with it and what suggested questions they are selecting in order to continuously improve. However, this shouldn’t be a black box. To be successful in a customer service role, the chatbot needs to have some level of human intervention and sign-off on content to keep information accurate and compliant.

Unfortunately, there are still a lot of simple chatbots out there today that leave customers annoyed and with a bad impression of the technology. The team at Creative Virtual are on a mission to help save as many of these chatbots as we can by transforming them into tools that meet customer expectations and are worthy of being the face of the company’s help centre.

The chatbot and virtual agent industry is an exciting space to be in, and I love being able to help my clients implement the newest developments in their virtual agent projects. At Creative Virtual, we’re always pushing the boundaries of what the industry thinks is possible and consistently striving to bring new innovations to the table. It gives me a real feeling of pride to see long-standing chatbot implementations evolve along with these changes and continue to deliver the service that customers expect.

“Virtual Moron-Idiot!”: Why Chatbots Fail and the #ChatbotRescue Mission Saving Them

This post originally appeared on AI Time Journal as part of their Conversational AI Initiative.

By Chris Ezekiel, Founder & CEO

It’s hard to find anyone involved with the chatbot and virtual agent industry who hasn’t heard the cautionary tale of Microsoft’s AI chatbot Tay. In less than 24 hours, Twitter users trained Tay to give offensive, racist and inappropriate responses which resulted in Microsoft taking Tay offline. Described as a ‘machine learning project designed for human engagement,’ Tay ended up becoming an often-cited example of an AI chatbot gone wrong.

As someone who has been working with virtual agent technology for nearly 20 years, Tay reinforced for me that pure AI is not the right answer for customer service and employee support virtual agents and chatbots. Yet, when Facebook announced the launch of chatbots on their Messenger platform and the media frenzy around AI and chatbots took hold, some conversational AI vendors jumped on the AI bandwagon. The industry suddenly became saturated with both false promises about the capabilities of the technology and a plethora of new start-ups claiming to have AI-powered customer service bots.

Fast forward a few years, and the chatbot and virtual agent landscape is now littered with poor-performing implementations and failed projects. In some cases, these failing projects have garnered negative press for companies. Telecommunications company Telstra was in the news when their virtual agent Codi was branded a ‘virtual moron-idiot’ by customers for failing to answer even basic questions. The National Disability Insurance Agency (NDIA), a government agency in Australia, was criticised for spending more than $3.5 million AUD on a chatbot project that never even reached the testing stage. In other cases, enterprises are struggling behind the scenes with internal chatbot projects. It’s not unusual to find companies with more than 10 projects in progress, but none of them delivering on their potential.

This is a common theme in organisations around the world. Yet, it’s not all doom and gloom for the industry. While there are many chatbot and virtual agent projects failing or never coming to fruition, there are also lots of highly successful implementations that have been in place for years. For example, at Creative Virtual our very first enterprise customer is still a customer today – that’s over 15 years of consistently delivering successful virtual agent solutions for them. So why do some chatbot projects fail while others achieve long-term success? There are two main pieces to the puzzle – the technology and the people.

As with any other product or technology, not all chatbot and virtual agent solutions are created equal. Here are just a few of the common problems enterprises are encountering because they don’t have the right virtual agent technology in place:

  • Channel-specific solutions – While providing 24/7 self-service on one channel can be a great way to get started with a chatbot, organisations are discovering that technology designed only for one channel is now creating a disjointed experience for customers because the tool can’t be linked up with any other channels. These companies are struggling with the challenge of having yet another siloed tool to maintain that makes it harder to deliver a seamless, omnichannel customer experience.
  • ‘Dumb’ solutions – Basic chatbot solutions are designed to do just that – have basic interactions. Organisations using these platforms are struggling to create unstructured conversation flows and deliver intelligent self-service that can help users solve issues using natural language. Without options to integrate with existing content sources, other support options and account information, simple chatbot solutions don’t allow for the easy, personalised experience users want. They also don’t have the right combination of machine learning and human input on the backend to help them continually improve in a reliable way.
  • Tough-to-grow solutions – Some enterprises thought their chatbot was on-track until they tried to grow their solution. Not all platforms give organisations the ability to scale their chatbot to other touchpoints, to support millions of users, to expand into other business areas, to link the contact centre to digital channels, to meet specific security and hosting requirements, to control the amount of machine learning and human input used – the list goes on and on. A self-service tool that can’t grow with the company won’t deliver long-term success.
  • DIY solutions – Lots of companies jumped at the chance to build their own chatbot only to discover that they don’t have the experience, know-how and data to create a tool that will meet their customer and/or employee engagement goals.

That last issue is just part of the reason why people are the other main ingredient for a successful chatbot implementation. As I mentioned in my Conversational AI interview, I truly believe that the key to a successful chatbot/virtual agent/conversational AI strategy is to work with an experienced team of people. There are lots of confusing options and challenges in the industry today, and enterprises need to be smart about the choices they make. Organisations need to work with an experienced partner that can help guide them in creating and implementing a chatbot strategy that will work today and also set them up for future innovation and expansion.

Often chatbot projects fail because the organisation isn’t working with a vendor that can provide consultation experience as well as the right technology. It’s important to work with a team that will collaborate closely to design a customised solution and provide guidance on both sector-specific and general industry best practices. This expertise needs to go beyond the initial implementation process to include experience in ongoing development and optimisation. New start-ups typically can’t provide that type of insight and support, and most organisations don’t have that expertise internally.

The good news for enterprises struggling with poor performing chatbots and projects that never got off the ground is that there are options for getting their projects back on track. Instead of abandoning these projects, they can save their investments by leveraging what they already have and building on that to create a successful chatbot by upgrading to the right platform. As someone who has been involved with this technology since its infancy, I’m passionate about helping these organisations save their investments. The expert team at Creative Virtual and I know intimately how well this technology can work for enterprises and don’t want them to continue to miss out on those benefits.

If your organisation is struggling with a chatbot or virtual agent project, I encourage you to reach out to learn more about Creative Virtual’s Chatbot Rescue Mission.

If your organisation hasn’t started out on your conversational AI journey yet but is worried about selecting, deploying and maintaining a successful solution, I recommend downloading these Top Tips for Implementing a Chatbot or Virtual Agent in 2019.

We’re Coming to Rescue Your Failing Chatbot Project!

By Chris Ezekiel, Founder & CEO

In my role leading a global company, I have the opportunity to travel all over the world speaking at conferences, meeting with enterprise executives and collaborating with other industry experts. Everywhere I go, I hear stories from organisations that have started on chatbot projects which is exciting for the industry. Yet all too often that excitement turns to disappointment in these stories as we are seeing many of these projects failing or never coming to fruition.

I’m not alone in seeing this common theme. I’ve had many discussions with industry analysts this year who have echoed this same concern, and we’ve encountered this issue first-hand with some of our most recent customers who came to us for help after struggling with other chatbot products. Failing chatbot projects have also garnered negative press coverage for companies. Telecommunications company Telstra was in the news when their virtual agent Codi, a joint project with IBM and LivePerson, was branded a ‘virtual moron-idiot’ by customers. Failing to answer even basic questions, it left users frustrated and sharing their negative experiences with the world. The National Disability Insurance Agency (NDIA), a government agency in Australia, was criticised for spending more than $3.5 million AUD on an IBM Watson chatbot project that never even reached the testing stage. It’s not uncommon today to find enterprises with more than 10 internal chatbot projects in progress – and none of them actually delivering on their potential.

As someone who has been involved with virtual agent and chatbot technology since its infancy, I felt passionately that it was time for my company to act – and the expert team at Creative Virtual agreed. We know intimately how well this technology can work for enterprises and don’t want them to continue to miss out on those benefits. That’s why we are now on a Rescue Mission!

The goal of this mission is to rescue organisations struggling with poor performing chatbots and projects that never got off the ground. Instead of abandoning their failing projects, we are helping companies save their investments by leveraging what they already have and building on that to create a successful chatbot. We’re offering a no cost consultation workshop and initial chatbot upgrade to our award-winning V-Person™ platform to get the transformation project started.

Creative Virtual is in a unique position to rescue these failing chatbot projects. As a company, we have over 15 years of experience in the virtual agent and chatbot space. Our very first enterprise customer is still a customer today – that’s 15 years of consistently delivering successful solutions for them! We’re able to do that because we have a highly experienced team that delivers best practice expertise alongside our innovative and award-winning technology.

Earlier this year Frost & Sullivan named Creative Virtual the AI-Enhanced Customer Self-Service Product Leader. In their independent review, they praised not only the capabilities and performance of our technology but also the effective way we provide the guidance of an experienced strategic partner to our clients. That combination of people and technology is what makes us perfectly suited to lead this Rescue Mission!

If you’re struggling with a poor-performing chatbot/virtual agent or are unsure about what to do with a failing chatbot project (or 10 failing projects!), we want to help. Let Creative Virtual save your investment by transforming your failing chatbot into a successful conversational AI solution. Sign up today for your no cost consultation workshop and initial chatbot upgrade.

We’re coming to rescue you!

Conversational AI in the Contact Centre

This post originally appeared on AI Time Journal as part of their Conversational AI Initiative.

By Chris Ezekiel, Founder & CEO

Contact centres require a great deal of investment for organisations – from recruiting and training staff to putting the right tools in place for agents – and yet still often deliver a poor customer experience. Plagued by long wait times, agents dealing with inadequate or incomplete access to information and a disconnect from digital channels, contact centres are struggling to meet customer service expectations. With industry experts predicting the year 2020 as the point when customer experience (CX) will overtake product and price as the number one way companies will differentiate themselves from the competition, organisations can’t risk ignoring these common contact centre issues.

Smart companies are working hard to better their CX. Organisations everywhere are embarking on digital CX initiatives in an effort to improve their experience, build loyalty and increase sales. Conversational AI is increasingly an important piece of these initiatives with chatbots and virtual agents becoming essential tools for providing 24/7 self-service to digital customers. Available on websites, messaging apps like Facebook Messenger and WeChat, and smart speakers like Amazon Alexa and Google Home, chatbots are helping organisations deal with the growing number of customer touch points.

Yet, all too often these digital initiatives and conversational AI strategies ignore the contact centre. This creates expensive silos that damage the customer’s experience. A truly successful strategy goes beyond what customers are experiencing online to include what’s happening in your contact centre.

Chatbots are more than customer self-service tools

Many organisations are utilising conversational AI to create a self-service experience for customers but are overlooking the added benefits of using this technology in the contact centre. Chatbots and virtual agents help maximise on contact centre investments by instantly providing agents with information to assist callers, reducing average call handling times and increasing first contact resolution. Training time for live agents is drastically reduced, and organisations build confidence with customers by assuring consistent communication from all agents. When agents know they always have the information they need at their fingertips, their focus moves from trying to retain knowledge to building better relationships with customers.

The tool understands questions asked in natural language, as well as common abbreviations used by agents, and can guide agents through processes and forms step-by-step as they assist customers. By giving all staff easy access to the same level of knowledge, anyone from support teams to trainers and coaches can step in to answer customer questions with confidence at peak or busy times. Chatbots also lend themselves well to gamification around content awareness, skills training and performance improvements.

Not all chatbots are designed for the contact centre

There’s a record number of chatbot options on the market today, but not all of them have been designed for the contact centre. In fact, many of them are channel-specific solutions that create a disjointed experience for customers. Enterprises serious about creating a seamless CX – and aligning the contact centre directly with the digital function – should avoid those solutions. Here are four tips to help with selecting a conversational AI platform for contact centre agents:

  1. Centralise knowledge management control: To reap the benefits of using conversational AI within the contact centre – and for customer self-service – you must have a solid foundation in knowledge management. Chatbots and virtual agents can only give accurate responses if they are backed by a knowledgebase with accurate content. Using a single knowledge control centre for both customer-facing and contact centre chatbots creates consistency across channels. It also allows organisations to more easily keep content up-to-date and create a single point of truth.
  2. Integrate chatbots and live agents: The future of customer engagement lies in humans and machines working together in harmony. By bringing together automated and human support, organisations can create the seamless, omnichannel experience customers want. They can also take advantage of the contact centre becoming the centre of excellence for the knowledge used across customer support channels. Providing a chatbot that works for the specific needs and requirements of the contact centre is key for properly supporting agents and getting the most from this integrated solution. There should be choices to personalise the agent console as well as options for agents to use voice and for the tool to also be deployed on the IVR (interactive voice response) channel.
  3. Combine artificial intelligence and human input: The foundations of successful chatbots lie in the control of the response given. A hybrid approach of machine learning and human curation of content allows the chatbot to continually improve based on the way it is being used while also enabling companies to maintain control over the reliability of responses. Combining human learnings with AI creates dependable self-service solutions and gives organisations the control they need to comply with industry standards and regulations.
  4. Work with an experienced vendor: An often-cited barrier to deploying a chatbot by company executives is a lack of internal expertise. So, while selecting a conversational platform that offers the right features and functionality is essential for success, it’s just as important to select a vendor that can provide that experience and knowhow. When an organisation is working with the right provider, they don’t need to have existing internal experience to make the solution successful. The right vendor will be a partner throughout the process, collaborating on a customised chatbot and providing guidance on industry best practices and new innovations.

Be realistic but plan for the future

Before starting to evaluate chatbot offerings for the contact centre, an organisation needs to first determine how the solution will fit into their overall customer experience plan. Just as digital CX initiatives that ignore the contact centre create damaging silos, selecting a tool for the contact centre that ignores other customer channels can create similar issues. It’s crucial for companies to be ambitious, and at the same time realistic, about the role the contact centre currently plays – and the role it should be playing – in their overall CX strategy.

For a more in-depth look at these four tips along with 12 essential questions to ask when selecting chatbot technology for the contact centre, download the whitepaper A Chatbot for Your Contact Centre. With the right conversational AI technology and partner, organisations can maximise on contact centre investments, provide seamless omnichannel customer support and incorporate the contact centre into their digital CX strategy.

Creating a Better Experience for Indian Customers

By Anand Gupta, Knowledgebase Author

The Customer Experience Management (CXM) 2019 event that took place in Mumbai on 25th April at the Hilton Hotel turned out to be a wonderful experience for Creative Virtual. The Founder & CEO of Creative Virtual, Chris Ezekiel, and Executive Director India, Shantanu Purandare, participated as representatives of the company. The event also witnessed the participation of market leaders in an array of fields. Business Heads, Chief Executive Officers, Marketing Heads, Vice Presidents, Chief Operating Officers, and other dignitaries belonging to Book My Show, Edelweiss, Future Group, Indigo, GVK, and Craftsvilla presented their perspectives of the market and customers during the day. Creative Virtual sponsored the event as the CX Product Leader Partner.

Customer Experience Management 2019Discussions were held among representatives to magnify the solutions granted to customers. Taking up the dais, Shantanu began with a pun and jest before drawing the audience’s attention towards losses incurred in the market due to fallacies. He sought heed on the loss of thousands of crores of rupees due to bad customer experience the previous year (2018) in addition to the year before that. In his presentation, he emphasized the importance of providing a delightful customer experience. Shantanu discussed key elements needing to be addressed by the industry to improve CX that repeatedly arise in customer surveys year after year. He also stressed the importance of providing support in the customer’s language. For example, Creative Virtual is helping organizations in India provide self-service in Hindi, Tamil and Marathi.

After this, Chris took over the platform and deciphered the real business benefits of chatbot solutions. He noted the strength of Creative Virtual’s chatbot technology through illustrations and highlighted best practices for using chatbots, virtual agents and live chat. He explained that the chatbot is capable of conversation which bridges the gap of human interactions through a live example. The emphasis remained on the personalized interaction. He displayed the customized integration of the chatbot with different devices and channels like Facebook, WhatsApp and WeChat. The company founder also demonstrated the integrations with voice technology and live chat during the presentation before handing the podium to Shantanu again.

Exhibiting the varied aspects of our company’s chatbots, Shantanu demonstrated some of the features of the retail chatbot Swara designed to assist with the selling and purchasing of items. It showcased the capacity of reminding the logged-in user when the transaction remained incomplete after re-opening the bot on another device. He presented one of the features that allowed for human intervention while maintaining a seamless customer experience. The chatbot provided options that enabled the customer to connect with a customer care executive by selecting to receive a phone call to the user’s own device. Shantanu placed an order during the live presentation using the chatbot on both his laptop and his mobile. He then showed the integration of Swara with Amazon’s Alexa device and rescheduled the delivery of that purchase. This demonstration of an omnichannel experience left everyone in awe and thinking about how they could integrate chatbot technology to provide a similar experience to their own customers.

You can watch the full presentation from the CXM event below, and then request a personalized demo to learn more about how Creative Virtual’s chatbot and live chat solutions can help you provide a delightful customer experience. Special thanks to the CXM event organizers for putting together a wonderful event and to all the attendees who stopped by our table throughout the day.

The Campaign to Win Over Customers

By Mandy Reed, Marketing Manager (Global)

In electoral campaigns, candidates share their ideas, come up with catchy slogans and make promises to gain the support of voters and best their opponents. For businesses, every day is like a day on the campaign trail. There is a constant battle with competitors as they try to outdo each other with a superior product or service, lower pricing and an easier customer experience. As customers, we are choosing the winners and the losers every day by deciding where to spend our money.

I wrote recently about the prediction that 2020 will be the year that customer experience overtakes product and price as the number one way companies will differentiate themselves in the marketplace. While we don’t have long to wait to see if that prediction comes to fruition, businesses don’t have the luxury of taking a ‘wait-and-see’ approach. If they haven’t already been putting time and effort into improvements to their customer experience and cultivating the company culture needed to make that a priority, they’ve put themselves at a great disadvantage.

I’ve also written before about the so-called ‘Amazon effect’ on customer experience expectations. Amazon and other companies that are delivering high quality experiences, including excellent service and support, are creating a customer base that is now expecting that same level of customer experience from all the organisations they engage with, regardless of industry. This is helping to push customer experience ahead of product and price in purchasing decisions.

Case in point: over the weekend I got a text from a friend that read ‘Lesson learned…I’m sticking with Amazon from now on…returns are super easy!’ She had been dealing with a drawn-out and frustrating return process for an item that, had she purchased it from Amazon, could have been sorted out in minutes on their website. That business had just lost a customer because of the poor experience they delivered; an experience that didn’t meet the expectations created by a customer knowing there could have been a simpler, quicker process in place.

Customer service and support is one area of the overall customer experience where organisations have often struggled to keep customers happy. One reason is the rapid change in how we communicate both with companies and each other, driven by technology and increased internet access. Not that long ago, businesses were only dealing with providing support in person, over the phone or via email. Now customers are looking for answers and information on websites, social media, messaging apps and smart speakers, too.

Forward-thinking companies understand that the future of customer service lies in automation. It’s not feasible to support customers on every communication channel with humans alone – and customers don’t expect that. Conversational chatbots and virtual agents are a smart way to deliver automated self-service for customers across multiple channels. These automated solutions can also be used to assist customer service agents in the contact centre to improve both the customer and agent experience. The key is to be smart about this automation, though. Work with a knowledgeable team to implement the right combination of automation, artificial intelligence (AI) and human input to set your efforts up for long-term success.

In the relentless campaign to win over customers, it’s easy for businesses to promise a seamless, easy and positive customer experience. But as customer experience becomes more and more important in the decision-making process, it will be the companies that deliver on those promises that will come out victorious.

Is Your Customer Experience Ready for 2020?

By Mandy Reed, Marketing Manager (Global)

Every one of us has a story we can share about a bad customer experience – and we love to tell those stories. In fact, a survey conducted in 2018 across six countries found that 60% of customers said they had shared their bad experiences with others, either in-person or online. And for many of us, we also love to hear or read about those experiences before we make our own purchasing decisions, meaning that a single poor experience can have a negative knock-on effect on countless other potential new customers.

It’s certainly no secret that your customer experience (CX) has a direct impact on your company’s bottom line. The results of that same survey also showed that 56% of customers had stopped doing business with a brand or switched to a competitor after a single bad customer service experience. According to Frost & Sullivan, US companies are currently losing more than $83 billion annually because of poor customer experiences. Despite being armed with this understanding, many organisations are still struggling to meet the expectations of today’s highly connected, digitally-savvy customers.

In their The Future of IT report, Forrester drives home the point that soon nearly all companies will operate as digital entities with their ability to maximise on the potential of new technologies determining their success. One force behind this change are customers:

“Digitally insatiable customers have a marginal and fickle loyalty to traditional brands, are willing to experiment, and are conditioned to switch affinity and spend based on a single poor experience. Customers have an affection for novelty brands and, notably, brands that ‘get’ and tap into their day-to-day lives.”

When it comes to service and support, tapping into a customer’s day-to-day life means providing the options to find information and resolve issues on a growing number of channels. More traditional channels like the phone are still important, but customers now also want to engage with brands on newer channels like messenger apps and smart speakers – channels that are becoming more integrated into other aspects of our daily lives.

Yet just being present on these channels isn’t enough to create a positive customer experience. As Gartner points out:

“It’s not just what channels customers use to resolve issues, but why they use them that leaders need to understand.”

Service leaders must understand the entire customer journey and the realities of what it takes to solve a particular issue in order to optimise each channel appropriately and then guide customers to the correct channel as needed. While all channels should aim to make customer resolution easier, every channel can’t be viewed with a one-size-fits-all mindset.

To be able to guide customers to the right channels and create an easy, seamless experience, organisations need to approach their digital CX initiatives with an omnichannel view. For example, adding a chatbot on a messenger app is a great way to provide customers with quick self-service, but it can’t be a standalone tool. It must also be integrated with other channels so users can be properly guided or handed over to a different channel if needed, such as live chat or the contact centre, to have their issue resolved.

There have been lots of predictions over the past several years about how important CX will become for brands. A recent report identifies the year 2020 as the point when customer experience will overtake product and price as the number one way companies will differentiate themselves from the competition. As we quickly approach the middle of 2019, organisations need to take the time to really evaluate their experience and identify the technologies that will prepare their customer service for the future.