Future contact centres will not treat human agents, chatbots, voicebots and digital channels as separate functions, but as one integrated service system. This makes it possible to integrate human and digital agents, retain context across channels, and manage AI and human performance through a unified oversight model.
The greater impact of AI lies in its ability to reduce customer effort across the entire service journey. As organizations begin to measure and optimize customer effort, a new value model is emerging: one where service efficiency, customer satisfaction, loyalty, and demand reduction are closely connected.
When customers are left uninformed, uncertainty quickly turns into frustration, confusion, and, sometimes, chaos in the waiting area. At the same time, staff are forced into reactive mode, managing interruptions rather than delivering service.
Artificial intelligence is no longer a peripheral experiment in service operations. It is becoming part of the operating model itself. Across contact centers and service environments, AI is shifting work away from static scripts, fragmented systems, and reactive handling toward faster, more contextual, and more scalable service delivery.
Organizations that report successful AI initiatives invest up to four times more (as a percentage of revenue) in foundational areas, such as data quality, governance, AI-ready people and change management, compared to those that experience poor outcomes from AI, according to Gartner, Inc., a business and technology insights company.
We are pleased to announce that the new report, The Customer Feedback Management And Analytics Solutions Landscape, Q1 2026 (client access only), is live! Although the name of this market is new (as announced in December), the market itself is not. Many customer feedback management and analytics solutions (CFMAS) vendors are well-established providers, and the…
According to recent studies, customers are 3x more likely to stay loyal to brands that deliver consistent, personalized experiences across channels. Yet most enterprises still struggle with fragmented data, siloed teams, and disconnected campaigns.
Retail is entering a new phase; one defined not just by digital acceleration, but by the growing complexity of decisions that shape performance. Volatile demand patterns, persistent margin pressures, evolving customer expectations, and increasingly interconnected operations are challenging traditional ways of planning and execution. The pace of change is no longer cyclical; it is continuous,…
In most service-oriented organizations, queues are seen as an operational problem. Something for the service managers, IT team or front-desk staff to solve. But for strategic leaders, queues reveal something much deeper: how an organization values time, wellbeing and the human experience both for customers and employees.
Retailers today must balance two priorities: delivering dynamic, digitally connected in-store experiences, while maintaining operational efficiency against volatile economics and ongoing margin pressure. Achieving both requires the right combination of technology––applied both behind and in front of the counter––and a clear strategic vision to create physical spaces that meet the rising expectations of today’s shoppers.