The data collected in your customer support department does not begin and end with customer support personnel. The benefits of the data collected here touches every other aspect of your business including hiring, product support, marketing strategy, and more. Your customer data is an incredibly rich source of information, particularly if your communication channels are optimized for customer use.

In today’s dynamic and fast-paced B2B ecosystem, the integral role of customer service is more pronounced than ever. Beyond being a distinguishing factor, delivering superior customer service has emerged as a strategic business imperative. Data from American Express underscores this, noting that over half of consumers have abandoned a planned purchase due to subpar service, and a third would contemplate switching companies after just a single instance of poor service.

As a customer support leader, you know how important it is for your customers to be serviced in a timely manner. So, your company invests in the training needed to ensure your agents know the product and can help the customer use it. You train them on understanding customer needs and how to demonstrate empathy so customers leave the interaction feeling seen and heard. Yet, a major challenge is the technology customer support agents use, which slows down productivity.

Efficiently managing customer support workflows is vital for businesses aiming to deliver exceptional customer experiences. However, support teams often encounter difficulties when using Jira, the popular project management and issue tracking tool. Recognizing these struggles, we here at TeamSupport are proud to launch a groundbreaking enhancement to our Jira integration.

Zendesk, Inc. announced its completed acquisition of Tymeshift, an AI-powered modern workforce management (WFM) solution. Built exclusively for Zendesk customers, Tymeshift simplifies the management of complex customer experience (CX) workloads. “Companies of all sizes benefit from WFM tooling, so Tymeshift was a natural choice when looking to expand our product portfolio.

As we near the conclusion of our enlightening ten-part series covering The Complete Guide to Customer Service Transformation, it is time to cover an essential yet often overlooked topic – flexibility. While standard procedures are important, adapting to the unique needs of different customer segments is the key to fostering lasting relationships.

With the eighth post in our ten-part series covering The Complete Guide to Customer Service Transformation, the topic of focus is a key component of an efficient and customer-centric service strategy: self-service capabilities.

In the eyes of customers, you’re only as good as their last experience with you. This means that consistency is key – whether you’re facing economic headwinds or an unexpected spike in customers needing help. AI helps teams boost their productivity, increase efficiency and meet rising customer expectations at a time when many are being asked to do more with much less.

Who's the most famous bot of all time? Arguably, R2-D2 as the beloved, fictional Star Wars droid. But these days, there’s a very real, very talked about “bot” in our midst that people are eager to use: ChatGPT. With the advent of this solution, a massive wave of influence has sparked, prompting businesses everywhere to explore ways to leverage AI of this nature. And the B2B customer support industry is no exception to this transformative force.

No two customers are alike. Just as no interaction with any one customer is always the same. Various factors, both within and outside your control, can influence a customer’s emotions and require a different approach. With artificial empathy, you can now tailor experiences to how a customer is feeling at any given moment.

As we arrive at the seventh post of our ten-part series covering The Complete Guide to Customer Service Transformation, the focus shifts towards Unified Service Management Platforms, not only on the immense value they provide, but also on how they can help to revolutionize the way customers are served.

Turning the corner into the second half of our ten-part series covering The Complete Guide to Customer Service Transformation, the sixth post of this series will dive into the intersection of service and technology. In the digital age, it’s not just about having data; it’s about leveraging that data to improve customer service and satisfaction.

Best-in-class customer service organisations are increasingly using AI as a competitive differentiator, especially as they face economic uncertainty and rising costs. Cost savings are just one benefit of AI in customer service. A recent report from Gartner, 3 Ways AI Benefits Customer Service Organisations,* explains how customer service organisations can use AI to move beyond cutting costs to adding value.

Great service relies on having a complete view of your customers. That means bringing all your support channels, workflows, customer data and apps into a unified workspace so agents have the context they need for every customer interaction. But businesses need to take the idea of a single customer view one step further.

We have arrived at the halfway point in our ten-part series covering The Complete Guide to Customer Service Transformation. We’ve talked about engaging leadership and sparking teams, and now, let’s examine how to meet and exceed your customers’ expectations while optimizing their journey with your business.