Verint is operating in quite a different marketplace for contact center and agent management technology than existed five years ago. We have seen tremendous innovation and expansion of the available technologies for running centers and optimizing the performance of the human labor pool, as well as an explosion of tools built to automate customer interactions.
Sprinklr’s analyst day in September was an opportunity for the company to dive deeply into its progress in pivoting its product offerings to align with a broader perception of the market for contact centers and adjacent customer-related applications.
It is unfortunate that business-focused digital communications are sold under three different headings: Contact Center as a Service (CCaaS), Unified Communication as a Service (UCaaS) and Communication Platform as a Service (CPaaS). (And that just counts the cloud options—let us acknowledge the huge, continuing, installed base on premises.) These are terrible ways to describe complex, varied and overlapping offerings. What distinguishes them are:
Self-service has changed immensely in recent years. It has gotten better, qualitatively, in delivering answers and resolutions to customers. But it has also gotten extremely complex, relying on a basket of new technologies to achieve results. It helps to look at it through the eyes of the three main constituencies that are affected by it: customers, contact centers and the businesses they sit in.
Verint held its analyst conference recently, using the opportunity to flesh out how it is responding to the rapid developments in artificial intelligence (AI) and data-related technologies and to changes in the way enterprises consider the purchasing process for contact center-related tools.
Field service operations are not often discussed as part of enterprise customer experience planning, but there is a strong argument that they should be seen as an important factor driving how customers perceive brands. Like contact centers, field service teams are dealing with the advance of startling new technologies that can be expensive and disruptive. The flip side of disruption, though, is that it presents interesting opportunities for improving customer-related outcomes.
The next phase of buying for contact centers and adjoining service/customer experience (CX) teams is going to be heavily influenced by how vendors develop tightly integrated ecosystems and define use cases and benefits across enterprise personas. There are more people involved in the work of delivering customer service, and a broader technology landscape from which buyers can choose their software applications. Platforms now function well beyond the communications needs of the contact center,...
We are going through an analytics revolution in and around contact centers. There is more data to analyze and better tools to conduct the analysis. One important advancement is assessing customer sentiment and using it to predict (and influence) behavior. Enterprises are using customer experience programs to identify and act upon hidden "moments of leverage" where customers may be inclined or primed to make a purchase. To do that effectively, enterprises need insight into how the customer...
Ventana Research recently announced its Market Agenda in the expertise area of Customer Experience. CX has emerged as a way for enterprises to demonstrate value and stand out in the marketplace. The technology underlying modern CX is transitioning from tools that are based on communication to those centered on data analysis and process automation. No technology has had as dramatic impact as quickly as Generative AI, which has upended the industry. It allows enterprises to build great...
It often takes longer to adopt new technology in the customer service delivery environment than in other business areas. In fact, service operations are among the most efficient and well-organized processes (despite what consumers might think). Because both the processes and the technology that drive them are deeply engrained in many companies, many people resist large-scale transformation projects because of their disruption and the uncertainty of outcomes.
