How are service personnel adopting AI, data science and customer engagement technologies to meet customer demands? Here is one vantage point…

Trend Australia/NZ Indonesia India Japan The Philippines Singapore
Expectations of customer service to contribute more to revenue in the next year 79% 74% 79% 73% 89% 80%
Expectations of more budget to scale up service quality as a revenue driver instead of being considered a cost center 69% 80% 85% 68% 82% 77%
Currently using or evaluating AI to boost service efficiency 68% 86% 73% 83% 77% 90%
Planning to increase AI investments in the year 86% 80% 93% 83% 92% 90%
Expectations of higher case volume in the year 69% 74% 77% 71% 70% 65%
Customers’ level of expectations being deemed higher than before 81% 91% 88% 92% 83% 81%
Improving data capabilities to support AI and data-driven technologies: 86% 97% 92% 85% 85% 72%
Plans to increase investments in data integration in the year ahead 79% 81% 81% 80% 83% 87%
Top three service-quality use cases Automating summaries and reports, customer-facing bots, generating service responses Generating service responses, customer-facing bots, automating summaries and reports Automated summaries and reports, intelligent offers and recommendations, knowledge article creation Automated summaries and reports, customer-facing intelligent assistants, and agent-facing intelligent assistants Generating service responses, customer-facing bots, agent-facing bots Automated summaries and reports, customer-facing bots, and generating service responses