Contact center automation trends and AI innovations are the hottest topics at almost every CX event this year. Every contact center vendor is looking for new ways to empower and augment agent performance with intelligent automation.
A Bain & Company report noted that AI-driven automation isn’t just about saving money anymore; it’s about “resilience and gaining an edge.” Automation in the contact center can deliver incredible benefits to companies from all industries.
Automation streamlines workflows for agents and improve workplace efficiency. Plus, it opens the door to new ways of efficiently serving customers. While automation has been driving excellent CX results for years, technology innovations are igniting new demand.
Advances in Robotic Process Automation (RPA), Artificial Intelligence, and Machine Learning are changing the DNA of customer care. Let’s look closer at the contact center automation trends worth investing in this year.
What is Contact Center Automation?
Before we dive into some contact center automation trends, let’s quickly define the concept. Contact center automation is a multifaceted idea. On a broad level, the term refers to the tools companies use to automate tasks usually performed by humans.
Examples of contact center automation can be seen everywhere in the contact center. They appear in everything from simple IVR solutions for call routing to comprehensive self-service chatbots.
Lately, automation trends in the contact center have been influenced more by artificial intelligence.
Intelligent contact center automation, driven by new conversational and generative AI initiatives, redefines what bots can do. Cisco’s generative AI tools can automatically summarize conversations, reducing call wrap-up times.
ServiceNow uses generative AI to empower agents with rapid access to information and guidance. Other vendors like NICE, Talkdesk, Five9, and Genesys have combined automation and leading AI algorithms.
The Top Contact Center Automation Trends in 2023
As technology in the contact center and CX landscape continues to transform, contact center automation trends primarily focus on improving both agent and customer experience simultaneously.
With the right tools, companies can reduce costs, optimize resources, and improve customer satisfaction with minimal extra effort.
Here are some top contact center automation trends to watch this year.
1. Connecting the Clouds and Optimizing Omnichannel
Since the pandemic, 90% of customer service leaders say customer expectations have increased to an all-time high. Customers now want always-on, personalized, efficient experiences on every channel. However, companies can’t simply invest in new communication platforms to compete.
They need automation and AI to ensure every channel, team member, and platform can communicate.
Automation is emerging as a powerful solution for bridging the gaps between different communication channels. The right tools can empower customers to transition from text to voice calls or video interactions in seconds.
More importantly, the proper solutions automatically transfer the context agents need to deliver consistent, personalized experiences everywhere.
Automated technology can also help to bridge the gaps between employees, helping to bring multiple tools and platforms together in one environment.
Companies can use APIs to create automated workflows that connect the contact center collaboration and UCaaS tools, as well as CRMs and databases. This leads to unified employees working on complex customer cases, sharing knowledge and insights instantly.
It also ensures agents can automatically access cloud-based data from knowledgebases and customer profiles without leaving a conversation with a customer.
2. Automation Helps Drive Hyper-Personalization
Speaking of personalization, around 71% of companies now expect interactions with companies to be tailored to their specific needs. Unfortunately, this means collecting and managing vast volumes of data.
One of the most significant contact center automation trends making waves throughout the landscape today uses intelligent tools to help companies understand their customers.
Automated solutions can help companies track each stage of the customer journey, making mapping touchpoints for contact center agents easier. Intelligent automated tools can also collect valuable data from conversations, summarize it, and add it to customer profiles.
This means agents can access more comprehensive insights into their customers, their preferences, goals, pain points, and previous interactions, without as much admin work.
Around 76% of business leaders want to create more robust customer records by auto-populating customer profiles with bots. Some intelligent tools can use automatically-collected data to guide agents through interactions.
Bots can use historical and real-time data to suggest next-best-action steps to agents, based on business trends, customer intent, and sentiment. AI solutions can even automatically predict future outcomes and customer requirements, helping outbound agents to connect with customers at the perfect moment to increase sales and loyalty.
3. Automated Self-Service Solutions Evolve
The rise of generative AI solutions like ChatGPT is having a significant impact on contact center automation trends. For years, companies have attempted to automate specific customer interactions to help reduce call volumes and operational costs.
However, old-fashioned bots struggled to deliver exceptional experiences due to a limited ability to personalize conversations with creativity and context. However, the rise of conversational AI, generative AI, large language models, and advanced machine learning is changing all this.
Today’s companies can use automated bots to provide unique and compelling self-service interactions. These bots can understand customer intent, personalize discussions based on access to business data, and even help escalate conversations to human agents when necessary.
New GPT-style APIs and algorithms built into contact center environments are giving businesses a more effective way to guide customer conversations and provide 24/7 service.
Not only do these tools help to improve customer satisfaction levels, but they also have a direct impact on business outcomes too. Gartner predicts by 2026, automated conversational AI solutions will reduce agent labor costs by around $80 billion.