Case Study
August 26, 2024

Enhancing Email Automation & Classification with AI for an UK Telecom Leader

Artificial Intelligence Solutions
Telecom

iOPEX applied ML/NLP techniques like Sentiment, entity analysis, etc. on the content and took required action like classifying emails into various predefined categories like Complaints, Service requests, Enquiry, etc.

The Client

The Client is a London-based Telecommunications conglomerate that has its operational presence in more than 150 countries across the globe. Its primary services include broadband, fixed-line, and mobile services in the United Kingdom and provide IT and television subscription services. Some of its other products are Home security, Fleet management, Supply management, Telco equipment etc.

The Challenge

The group receives over 1 million emails annually. Many hours of time are spent reading E-mails to ascertain whether action is required or not and if so who the E-mail should be routed to. Each message must be categorized into types, and tasks required by each message must be correctly routed in order for client service to begin. The time it took to manually execute this high-volume, highly variable work caused errors and delayed the fulfillment of client requests. Download the case study for more details.

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