Social media is dead – long live social media
Rest in peace, Social Media! Yes, I know, you have been pronounced dead numerous times already, and that as early as 2011 by the Sillicon Valley Watcher, if not earlier. You lived on. Still, now you really need to admit that you are a dead thing walking. You had a short, yet exhilarating life. And you, admittedly, developed astonishingly fast and far from your humble beginnings in the early 1970s and the first bulletin board systems around 1980. These have been the glory days of FidoNet, CompuServe, or AOL. SixDegrees.com followed later. The early noughts gave us a flurry of messaging systems, LinkedIn and XING, not to forget the infamous 4chan. Anno domini 2004 brought us Facebook, 2005 brought us YouTube, Twitter followed in 2006. Google attempted repeatedly to get the hang of you (Orkut, Google+, anyone?) and still has some messaging services up and running. All of these platforms have in common that they started up with the claim, some of them even with the objective, to make the Internet more social, to foster user generated content and to, ultimately, shift the power balance from corporations to their customers. Who does not remember the war cry “the customer is in control”. This referred to the idea that the customer could get more information that is not controlled by brands, so that they can be better informed, instead of being forced to rely on corporate broadcasts. This should have been achieved by giving customers a voice that is as strong as the corporate one, albeit without the (marketing) budget behind. In line with the definition of social, it enabled...
How Zendesk Intelligent Triage steps up the customer service game
The News On September 14, 2022, Zendesk announced the release of its new customer sentiment and intent functionality: Intelligent Triage and Smart Assist. These new AI based solutions shall “enable businesses to triage customer support requests automatically and access valuable data at scale. Intelligent Triage and Smart Assist are the next step in Zendesk’s vision to create accessible CX AI for companies of all sizes. The technology uses proprietary industry expertise and insights from trillions of customer data points and applies a vertical lens. This creates models custom to each business capable of identifying the intent, language and sentiment of each customer interaction. This unique approach to applying machine learning creates more personalized and informed interactions to better serve customers. For example, specific inquiries, such as “I’m having problems with payment”, can be automatically sent to an agent who is equipped to handle billing for a quicker resolution, while inquiries that include language written in all capital letters or in a sarcastic way will indicate a highly negative sentiment and be routed to the top of the queue. The new capabilities include: Instantly route and prioritize revenue drivers, ensuring agents are working on business-critical requestsAnalyze distribution of requests so businesses can better plan operations, collaborate across departments and identify improvement opportunities supported by data for more efficient CX operationsAutomatically guide agents on how to best resolve a customer’s issue in real-time, understand context, recommend solutions, and improve coaching and training with valuable insightsContinuously boost accuracy as the AI solutions receive feedback on predictions and recommendationsDetect sensitive information automatically to meet compliance and security needs or extract confidential data like...
Customer Service is a changing – finding the logic in support
Customer service is in the middle of a transition. Not only is technology capable of doing far more than it was, say, ten years ago, but also are customers expecting far more. That has a consequence for businesses. Automation and conversational AI are one thing. These technologies already help companies serving their customers more effectively, efficiently, and the customers way. But this is not enough! The same technologies that allow this, allow it for every company. Which means that one needs to elevate the game. How this elevation can happen using unstructured data to improve the customers’ service experiences by e.g. leveraging unstructured data to avoid escalations is something that Martin Schneider of SupportLogic has good and very interesting stories to tell about. He argues that systems must become more intelligent and that purpose built AI is the way ahead, of course fuelled by the demands and learnings of Pandemic times. In a nutshell he says: For years, people wer not harnessing the insights inside the unstructured data inside support interactions. Today we have the power to do so – in a sense, finding the logic and the trends etc. in support interactions that help guide the business, all driven by these support interactions. It is very worthwhile listening to him. And entertaining, too!...