Last year our friends at Zendesk launched The Zendesk Suite — a one-stop solution for companies looking to provide amazing omnichannel customer service across email, phone and live chat.

Customers expect a personalized experience from your company. And when they don’t receive it, roughly 71% of customers1 will express frustration with your business. So how do you create personalized offers that wow your customers and lead to improved customer loyalty and greater sales? By tapping into powerful customer service analytics. Advanced analytics allow you to gather more valuable customer information.

Advancements in automation and artificial intelligence (AI) have revolutionized the business sector. Automation allows for concise, timely, and accurate service, which is in demand from a society accustomed to instant gratification. The predictive power of artificial intelligence allows businesses to improve upon their service. The end result is a fast, reliable, and effective customer service department, powered by AI and backed up by human agents.

Many companies focus on customer-facing features and tools when selecting a helpdesk platform for their customer support team. There are good reasons for this, particularly when you need to build extensive options for customizing a strong multi-channel or omnichannel program.

Have you ever overheard people having heated discussions about the differences between help desks, service desks, and IT service management (ITSM)? Surprisingly, we have. Some argue that help desk is an outdated term referring to an IT-centric support capability born in the late 1980s (think mainframes), with little attention to the end user. They may say service desk was coined to describe a new focus on serving end-users in a timely manner.

Customer support teams are built on the basis of collaboration — we are the connectors between our customers and our team members and yet oftentimes support can feel segregated from the rest of the company. This feeling can have many causes: the usual perception of the team as a “cost center”, lack of understanding of the nature of the work that support does and, worst of all, the lack of connection and collaboration within the support team itself.