Customer Service leaders strive to provide superior customer experience while running an efficient contact center. But execution gaps in poor ticket routing, manual tasks, and ineffective self-service portals reduce customer satisfaction. Celonis helps improve the customer experience with ML-based recommendations in routing and customer outreach.
Lower your resolution times, increase the efficacy of self-service options, and ultimately increase your net promoter score with Celonis.
The EMS extracts and transforms data in real-time from your transactional systems, identifying gaps — like which service case attributes have the greatest impact on resolution times, which stages in the self-service process are causing trouble, and which incidents are being handled by multiple agents even though they all have the same root cause.
It then acts to remove these gaps, intelligently automating workflows, prioritizing work by impact, and alerting your front-line employees to their next-best-action.
Use powerful machine learning models to predict the resolution time of incidents and intelligently reprioritize to avoid missing SLAs. Proactively update knowledge bases that are causing customers to drop off. And group related service cases so that they can be resolved by a single agent, increasing efficiency.
“We started with Celonis to improve our service management processes and now understand the entire life cycle of all service tickets.”