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Xebia - Customer Service Mail Classification for Banks
Solution
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Xebia - Customer Service Mail Classification for Banks
Solution
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Summary
There is a number of important mails which are sent by customers to banks on a daily basis regarding their queries and issues, so it becomes very difficult for banks to classify the emails according to the queries. This solution which will classify the customer emails accordingly.
Overview
Overview
Regardless of the development of self-help channels, a huge extent of customers (institutional and retail) keeps on utilizing Emails as an essential channel for communication with banks. Most of these communications are identified with explain issues/inquiries on their account, account servicing requests or complaints, issues with payments.
Problem Statement
Manually processing emails is a time consuming process. Aside from automating activities that should be acted in customer relationship management (CRM) or document management systems, the classification of incoming emails can become a complex and frustrating process.
Solution
1. User will receive mails from different customers regarding different issues and inquiries.
2. The RPA BoT will fetch the customer's mail.
3. The fetched mails can be classified using Intelligent Based Automation (Machine Learning, NLP, AI Fabric).
4. Classified mails are assigned to individual users for further processing.
Benefits
Published: 2021-02-04T09:58:21+00:00 | Updated: 2021-02-04T09:58:21+00:00
Trusted Source
License
MIT
Tags
Customer Request Classfication
Email Classification
Compatibility
UiPath Studio 2019.4+
Dependencies
UiPath AIFabric
Support
UiPath Community SupportSimilar Listings
