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Xebia - Customer Service Mail Classification for Banks

Xebia - Customer Service Mail Classification for Banks

by Xebia

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Solution

Lead Request

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Summary

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

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.

Features

Features

* Decrease in operational footprints. * Improved turnaround time for client request resolution. * Enables automation of administration satisfaction. * Scalability in manpower. * Decrease in processing time.

Additional Information

Additional Information

Dependencies

UiPath AIFabric

Publisher

Xebia

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Trusted Source

License & Privacy

MIT

Privacy Terms

Technical

Updated

Feb 2, 2021

Works with

Studio: 19.4 - 22.10

Application

Microsoft Outlook

Support

UiPath Community Support

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