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.
The period from early 2020 has been a challenging time for all sectors, but the travel and hospitality industries have been hit particularly hard. Fortunately, the international rollout of the COVID vaccine has brought some much-needed optimism into the sector. As confidence grows and people start travelling again, an excellent travel customer service and experience is going to be the key to gaining a competitive advantage and making the most of the rebound.
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.
Cultivating long-term, meaningful customer relations is an important part of any business. It goes beyond offering an incredible product and encompasses the entire customer experience, which should be consistent across every interaction you have with your customers. According to a Microsoft report, 54% of consumers state that they have higher customer service expectations than they did previously. The pressure is on for businesses to differentiate themselves and take better care of their customers.
When Jeff Bezos was asked by CNN what the single most important feature of Amazon’s success was, his response was telling – “the most important thing is to focus obsessively on the customer.”1 With 90% of American consumers citing customer service as an important deciding factor in doing business with a company or not, providing great customer service can give companies a competitive edge.2 But what exactly does good customer service entail?
