We live in an increasingly connected age where you can get real-time updates on practically any topic and have packages delivered to your door the next day at the click of a button. The result of this connectivity is that customer expectations are changing rapidly. One area, in particular, is customer service. When consumers have questions or problems, they want answers right away. Fail to meet those expectations and you risk customers switching to other alternatives.

Prior to the pandemic, I often heard tales of people talking about how their busy days were full of back to back meetings. On hearing these stories, I often wondered how they ever got any work done. Over the last year, with people working remotely, this situation seems to have become exacerbated. I now hear tales of many people working longer and longer hours filled with back to back meetings using videoconferencing software like Zoom, Google Hangouts, Microsoft Teams…you name it.

Customers find it most memorable when they’re treated as unique individuals. This is especially true when it comes to shopping customer care, where personalization goes a long way. Your customers want to feel special and feel like they are part of a community. They miss the days of knowing other people in the store and getting that personal attention from clerks and shop employees.

I was recently asked about the status of Information Security as a salient feature of the product roadmap. I paused. The question by itself seemed to hold up a mirror. It showed how security is viewed in today’s digital-first, app-centric, customer-focussed world. It may seem innocuous but under it lies the silent struggle many corporations face today. It also carries an unarticulated question: how should one align security with business imperatives?

The global pandemic has changed the face of e-commerce and customer journeys. As expectations shifted overnight, customer teams found themselves rapidly re-evaluating their customer care process. BrewDog, the best-selling craft beer brewery in the UK, found itself in this situation.

We often hear that Artificial Intelligence is the future. The truth is that it’s already here, and if you’re not already using AI for customer service, you’re missing out. Integrating AI into customer service can drastically improve CX. It helps identify customer pain points, automates processes, speeds up decision-making, and optimises service delivery.

In this blog, we have introduced the basics of chaos theory and complex systems, including how system incidents and failure prediction have been tackled in the past through deep learning. We have also offered ideas on how chaotic time series analysis can be leveraged to approach this problem. IT teams in large technology companies spend years building networked systems and connected applications. Now, especially in the middle of a worldwide pandemic, software reliability is paramount.

Many of the current customer experience metrics used are failing. This is why some businesses who have good NPS scores still lose customers. So, what measures do we need to put in place to drive success? How important is it to make it easy for customers to interact with you? Perhaps we should be paying more attention to emotions and sentiment, as they can reveal more about the state of our relationships with customers and potentially offer clearer insights into customer behaviour.