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Tag Archives: RPA

The Top 10 Customer Experience Trends in 2018

The following is a guest blog from Lauren Kindzierski, HGS Vice President, Solutions and Capabilities. For more information on HGS, visit their website.

The customer service industry will experience the biggest digital shift yet in 2018, as customer experience (CX) brand leaders seek to expand channels, leverage analytics, adopt automation, and integrate the front office with back office operations. CX pioneers should prepare for a surge in the adoption of disrupter technologies like artificial intelligence (AI), digital self-service, and bot tools, as well as the need to hire data scientists to improve business intelligence and better enable consumers to get the right answer fast. These digital capabilities will help some businesses, with the right unified engagement strategy and delivery expertise, to unlock a treasure trove of transformational potential for optimizing customer experiencebalancing the cost of service with frictionless engagement. In this report, we will cover those digital innovation and customer engagement operational trends that will assist CX leaders in planning their transformation projects in 2018-19. (Click here to view a webinar from January 10 on this same topic.)

1. Digital channels finally overtake voice.

We will finally witness the tipping point where digital channels—email, chat, social, text, messaging—overtake voice in the contact center. Mobile driven interaction management —in-app messaging, chat, SMS, and social—have become foundational components of an omnichannel strategy. According to Dimension Data’s global contact center benchmarking report, digital interactions accounted for over 42% of all interactions taking place inside the contact center in the beginning of 2017. At that current rate, digital was expected to overtake voice in 2018. It’s already happening with some of our clients. One consumer packaged goods client being serviced out of the UK receives 71% of all customer interactions from digital channels, and only 29% from voice. Included in these statistics are messaging via WhatsApp, which currently accounts for approximately 10% of the client’s volume. Instant communication will become the standard for exceptional customer service in 2018. Messaging is the new channel of choice, according to Twilio research, which states 89% of consumers want to use messaging to communicate with a business. There are multiple benefits to messaging such as the ability to send photos or videos between agents and customers, faster and more timely communications, and the ability to stop, start, and continue with the conversation at the customer’s convenience.

2. Investments in advanced analytics tools drive customer experience transformation.

Advanced data analytics tools can help businesses uncover business-critical insights and gain a competitive edge. According to Gartner, “By 2018 50% of agent interactions will be influenced by real-time analytics.” As customer experience analytics matures, it is becoming increasingly predictive and focused on personalization. A sophisticated data analytics tool can make predictions, or generate recommendations based on information gathered, thus giving contact center agents and bots more background and context on each individual customer they are servicing. In addition, analytics plays a significant role in increasing productivity. As one case in point, speech analytics can detect non-value adds, such as long conversational pauses or points in the conversation when the customer has to repeat responses. Continue reading

2018 Predictions for the Service Leader: Part 4 – Technology

We surveyed a number of customer service/experience leaders, from many of today’s leading brands, in our community to get their predictions for 2018. Over the coming weeks we will be releasing their thoughts on specific CX topics including customer expectations, channels, operations, technology, use case studies/data, and security/risk.

Click here to catch up on Part 1 – Customer ExpectationsPart 2 – Channels, and Part 3 – Operations.

The fourth installment of this series focuses on thoughts on technology.

• AI will begin to automate tasks for the agent and the customer – however AI will take longer to mature than previously thought, due to data infrastructure not mature enough to fully leverage.
• Companies will begin to shift from handling transaction to personalizing service.
• Digital will continue to experience strong growth, powered by mobile usage.
• Messaging channels will continue to grow social volumes.
• More conversations around the “social ethics” of AI deployment.
• Continued push on technology – moving infrastructure to the cloud.
• Deep/machine learning will play a role in 2018 for brands to meet customers where they are. I think brands are starting to get on board with the concept of machine learning and using data to predict behavior. But deep learning can extend beyond things like chatbots. If a brand can predict what a customer might be looking for, it can tailor content to the customer that allows the customer to self-service, send push notifications, etc.
• Thinking about AI secondarily to the types of use cases and outcomes desired that require it.
• Companies will have to address AI and ML in their strategies for customer acquisition and engagement. 2017 may be seen as a year of hype as lots of new vendors emerge on the scene. Expect consolidation and actual AI/ML deployments to increase in 2018.
• Interest in – and deployment of – customer journey analytics tools will increase, as companies try to identify and solve problems upstream before they occur.
• Strategic enterprise automation (front to back office) will help businesses begin to improve the customer experience, while optimizing back office operations, leading to stronger sales and a better bottom line. Examples include automated machine learning/AI, self help, chatbots/avatars, to RPA and beyond. Continue reading