Contact Centre Technology Decisions to Make Today

Business and tech trends are dynamic. Some accelerate while others lose value as more innovative solutions emerge.

To make the best contact centre technology purchasing decisions, it’s important to keep up with where markets are going. Then apply that knowledge to use cases that serve your business goals.

To make informed buying decisions, make certain your long-term needs are clear and logical — and they follow customer experience trends.

By tracking emerging trends in contact centre technology and how they can impact your business, you can focus on specific categories where you’ll build your best use cases.

Jason Alley at Genesys looks at four of the “big” contact centre trends in this age of artificial intelligence (AI) and the cloud.

The Cloud Connects All Experiences

Bringing together customer and employee touchpoints can reveal invaluable insights to improve all their experiences.

This is the fundamental capability and power of a cloud platform. It enables you to maintain a single view of customers and their journeys — and to use those insights in meaningful ways. By connecting all interactions, you can build differentiated experiences.

But not all cloud platforms support long-term contact centre technology trends or your unique — and evolving — plans for growth. Consider specific issues with resiliency, availability and the ability to innovate and grow.

When you’re exploring contact centre technology or making purchasing decisions, ask prospective vendors the following questions:

• Does your cloud platform handle a virtually unlimited number of users and events with bursting capabilities on the fly?
• In the event of a failure, can your platform recover on its own without service disruption or data loss?
• Do you have an integrated set of native cloud capabilities with the ability to orchestrate better user experiences in real time?
• Which independent certifications are part of your security and compliance stance?

Digital Goes Beyond Customer Self-Service

Many businesses start their digital journeys with self-service capabilities. Today, consumers use an average of almost six touchpoints with nearly 50% regularly using more than four.

Your digital customer experience strategy needs to be connected and cohesive to give customers a consistent experience — and that consistency includes voice.

These connections enable you to transform experiences with personalisation and then optimise those experiences based on contextual understanding of who’s engaging with you — and why.

An all-in-one suite of digital capabilities — enhanced with bots and predictive artificial intelligence (AI) — simplifies the way your agents engage with customers and each other, on any digital channel.

The cloud eliminates the silos between channels for streamlined customer journey. No matter which channel is used during the journey, customers and agents have a centralised and consistent experience.

When all your channels, tools and the insights are captured and connected in one place, you can support and manage the entire contact centre as you optimise experiences.

Ask prospective vendors:

• Do you offer a single routing engine to handle the agent process flow and routing rules?
• When digital interactions need to be transferred to an agent, is all the context of the interaction saved and shared with the agent — and throughout the interaction?
• How do you determine whether a customer’s emotional tone is positive, negative or neutral, and how does that tie into customer feedback?
• How do you measure agent performance and is real-time data available to their supervisors?

Look for Built-In Use Cases That Simplify AI

At its core, the value of AI is in the wide range of capabilities it enables that support innovation. This includes conversational AI services with generative AI for automation that also enables a human touch.

Using this embedded power of data and automation, businesses can create new products and services, streamline operations, and enhance the experiences of customers and employees.

As you explore AI capabilities, predictive AI can equip your businesses with deeper customer insights for personalisation and accurate forecasts to improve workforce planning.

And because implementation and maintenance are simplified with embedded capabilities, AI reduces overall costs and complexity.

Out-of-the-box use cases mean you’ll realise AI value faster by personalising services and automating tedious tasks, especially for call centre agents.

Ask prospective vendors:

• How do you apply AI and use it in your processes, such as predictive engagement?
• Are there built-in AI-based routing capabilities focused on optimising business outcomes?
• Do you give agents information on caller intent and support the agent throughout their customer conversations?
• As you introduce new AI elements, are they tested to conform to rigorous data, privacy and security protocols?
• Which omnichannel AI technologies do you support?

Customer Data Must Be Protected and Available

Establishing trust is vital. You and your customers should feel confident that the AI systems you use will protect their data and privacy, while operating reliably, accurately and ethically. Designing for transparency and trust aligns with customer perceptions of your brand.

When they see the benefits of sharing their data in the form of more personalised experiences, it builds trust and loyalty.

The Genesys State of Customer Experience report found that 81% of consumers say they’d purchase additional items from companies that consistently personalised their experience.

This also makes it less likely they’ll change to brands that don’t use their data to personalise experiences.

There are many ways to build trust through transparency, such as how you use AI algorithms, granting access to data sources and training models.

Being up front about processes and accountability solves problems before they arise. And it equips teams to understand the impact on operations.

Ethical AI practices, robust data governance and comprehensive frameworks encourage acceptance of AI technologies.

Ask prospective vendors:

• In what ways does your solution comply with enterprise-grade security standards?
• To what extent is customer data, including sensitive data, encrypted while at rest and in transit?
• Is the architecture designed with inherent data centre redundancy?
• Is your AI built into a secure foundation at the point of ideation or added on?

Ask the Right Questions About the Right Customer Experience Trends

Digging into the specific capabilities — and promises — that vendors offer helps ensure that the customer experience you deliver today uses the best contact centre technology.

That innovation should continue as the foundation of differentiating your services for many years to come.

This blog post has been re-published by kind permission of Genesys – View the Original Article

For more information about Genesys - visit the Genesys Website

About Genesys

Every year, Genesys orchestrates billions of remarkable customer experiences for organisations in more than 100 countries. Through the power of our cloud, digital and AI technologies, organisations can realise Experience as a Service, our vision for empathetic customer experiences at scale. With Genesys, organisations have the power to deliver proactive, predictive, and hyper personalised experiences to deepen their customer connection across every marketing, sales, and service moment on any channel, while also improving employee productivity and engagement.

Find out more about Genesys

Call Centre Helper is not responsible for the content of these guest blog posts. The opinions expressed in this article are those of the author, and do not necessarily reflect those of Call Centre Helper.

Author: Genesys