Streamlining Customer Inquiry Processes with Machine Learning and Camunda

Explore how to streamline processes and automate human tasks using machine learning models in this 14-minute Camunda demo. Learn to integrate the Camunda Hugging Face Connector with BPMN-based processes to automatically analyze customer sentiment and route messages, significantly reducing processing time from 13 minutes to just 1.6 seconds. Follow along as the demo showcases a simple BPMN process, demonstrates its execution in Camunda Modeler and Tasklist, and illustrates how to identify bottlenecks using Camunda Operate and Optimize. Discover the power of AI-enabled process orchestration to improve customer experiences, remove bottlenecks, and enhance overall business efficiency using Camunda 8.5.

- Welcome + Introduction
- How to follow up on positive, negative, and neutral Customer Sentiment
- Simple BPMN process with only human tasks
- How to run the process in Camunda Modeler and Tasklist
- How to check the process in Camunda Operate
- How to analyze the process and identify bottlenecks via heat maps in Camunda Optimize
- How to automate human tasks using the Camunda Hugging Face Connector
- Analyzing the updated process in Camunda Optimize
- Summary + Wrap-up