Updating Outdated or Insufficient Technology
Outdated or insufficient technology can cause major issues as IT leaders build out their customer experience journeys. If teams are working with systems that are not ready for automation, analyzing data inputs must be done manually. Too often, this “creates a matrix of systems with a range of databases, which very often don’t talk to each other,” writes Anna Dyderska, senior business intelligence analyst at the Northumberland County Council in England, on LinkedIn.
“Running a customer-facing technology environment today generally means connecting and using multiple applications that run in the cloud and on-premises. Modern applications also tend to rely on event-driven processing, an architecture that allows for automated actions whenever an event occurs, such as an ecommerce purchase, a question posed to a chatbot, or a login by a loyalty club member. Without this kind of automated responsiveness, a website likely can’t respond quickly enough, and with consistent correctness, to meet consumer expectations,” notes Oracle.
Revamping Impersonal Interactions
Customers place a high value on personalization, with 72% saying they expect the businesses they buy from to recognize them as individuals and know their interests, per a recent McKinsey study. If a chatbot hasn’t had enough generative artificial intelligence training, the responses may be cold and generic, and customers may be turned off.
IT leaders must rigorously train their systems to parse data with generative AI. This will help improve personalization in the customer experience, which was identified as a top use case by 42% of AI decision-makers, according to a 2024 Forrester study.