Service Ticket Automation über Machine-Learning-Modell

Service Ticket Automation with ML

Automate email categorization: Advanced machine learning on SAP BTP assigns incoming emails to service queues, reducing manual effort.

Use Case: Service Ticket Automation with ML
Service units receive hundreds of e-mails every day from customers, patients or employees regarding a wide variety of concerns (e.g., orders, inquiries, complaints, clarifications and much more). Reading through the emails and then assigning them to the relevant service departments causes an enormous manual effort for service staff. The solution to this is a advanced machine learning model that automatically assigns incoming emails to the relevant service queue.

Reducing the workload of customer service representatives by reducing manual effort

Three success factors for service ticket automation:

  1. Increased efficiency and accuracy in the allocation of incoming customer emails.
  2. Ensuring a high level of process automation.
  3. SAP BTP represents the ideal integration and automation environment.

Proof-Point
Industrial Manufacturing

User
Service Employees

Technology
SAP BTP, KI

Any questions about the Service Ticket Automation with ML?

We would be happy to talk to you about use cases, that are not only exciting, but can also be successfully implemented.

Akin Artimac: Customer Engagement
Akin Aritmac
Chief Sales Officer

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With passion and cross-industry knowledge, Akin Aritmac supports his customers on their way to successful digitization.
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Tags
AI & Data Customer Service SAP BTP Simplify Sales SAP Business Technology Platform Artificial Intelligence