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How AI is making more intelligent CX and service agents

The best jobs don’t just pay us, they bring us satisfaction too. In fact, in a study by PwC, respondents ranked having a fulfilling job as the second most important factor (after salary) when looking for a new role. And if you’re someone who thrives on making others happy, a job that ticks both those boxes is customer service.

Zendesk acquires Tymeshift, bringing AI-powered workforce management to customers

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.

How AI can help businesses hedge against uncertainty

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.

Here's why AI is the key to more empathetic customer experience

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.

Gartner: 3 Ways AI Benefits Customer Service Organisations

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.

Unlock personalised service at scale with a unified customer view

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.

Turbocharge your CX with Zendesk and AWS

The pandemic dealt some heavy blows to the retail industry. Lockdowns, short tempers and supply chain issues were just a few of the challenges that business owners have faced over the past three years. But retailers who got creative – and engaged with their customers in new and innovative ways – surged past the competition. Learn how to boost your retail CX with Zendesk and AWS.

Shaping the future of intelligent CX with Zendesk AI

The world is changing and customer experience is shifting alongside. Advances in technology, combined with new and ongoing business challenges, put us all under pressure to continue to evolve, improve and do more for our customers. Many businesses have managed through supply chain disruptions, rising costs and the ongoing shift into the digital landscape – all while under a cloud layer of ongoing economic uncertainty. Companies are faced with tightening margins and cutting costs.

How AI infused immersive CX can help retailers win the battle for customer loyalty

The money in our wallets doesn’t go as far as it used to. Prices are increasing—the cost of low fat milk was around forty five per cent cheaper in December 2021 than today. Meanwhile, the phenomenon of ‘shrinkflation’, a form of hidden inflation, means we’re all paying more and getting less in return. Companies across the board, from small independent businesses right up to the biggest retailers in the country, are finding it hard too.

Deep learning vs. machine learning: what's the difference?

Understanding the latest advancements in artificial intelligence (AI) can seem overwhelming, but if it’s learning the basics that you’re interested in, you can boil many AI innovations down to two concepts: machine learning and deep learning. Examples of machine learning and deep learning are everywhere. It’s what makes self-driving cars a reality, how Netflix knows which show you’ll want to watch next and how Facebook recognises whose face is in a photo.