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How a large utility provider automated

email handling in customer centers

Customer

European utility company

Goal

Reduce turnaround times in customer service centers with mailroom automation

Challenges

  • The company receives more than 200k emails from customers every year
  • 6 FTE in the back-office are required to extract the information required to create a business case in the CRM-system and associate this case with a customer
  • The manual processing of emails takes time and is error-prone, leading to long waiting times for customers and inaccuracies in the CRM-system

Solution

With SemanticPro, incoming emails are automatically classified and key parameters extracted to accelerate the intake and further processing:

  • Each email is classified into one of 50 categories like new registration, address change, provider change, etc.
  • A dozen identification parameters like client number, first and last name, address, are extracted from the email body and attachments
  • The extracted information is cleaned and converted in a JSON format for further processing in the CRM-system

Results

  • Near real-time 24/7 processing of emails
  • Shorter response time to customers, even in peak season
  • More time can be dedicated to special cases
  • Higher customer satisfaction
  • Elimination of duplicates and less errors in the CRM-system

The Cortical.io Difference

  • Only a few hundred sample emails were necessary to train the system with the company’s terminology
  • The system was production-ready within a few weeks
  • The solution is deployed in a private cloud and guarantees full data privacy
  • The solution can now easily be extended to other use cases to automate additional workflows
manual-email-processing-customer-service-center
mailroom-automation-example-workflow
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