It is imperative for businesses to have automated email categorizer to reach out to relevant customers for relevant campaigns.
Property and Casualty Subrogation Analytics.
A heavy rise in volumes of received emails was translating into an increase in personnel and increase in cost required to handle.
The first step was to channelize all emails in the client’s domain through a categorization database with the help of a ‘customized email fetcher’
xpresso was used as core engine to categorize through Natural Language Understanding, our expertise made us recommend 2-Level categorizer:
Application-based: the solution was trained to understand whether the recipient is a client, a merchant or a supplier; falling under the survey campaign or the registration campaign, etc., based on the metadata (headers, sender name, etc.).
xpresso-based: In this level, xpresso was used to categorize the emails by subject, such as queries, change requests, undeliverable, etc., by analysing the raw email text body
The combined output was run past the database and made assessable to their communications teams via web application. To automate further, an Auto-response mechanism was implemented to trigger to certain pre-defined rules.
Real-time Healthcare Bigdata Analytics
Insightful Business Optimization Metrics on segments like Patient Adherence, ProviderManagement, Finance Management, Pharmacy, Inventory Management was made available to external clients besides internal stakeholders with a complete Big data platform with BI and Advanced analytics solution including Data Lake.
88% Average accuracy for adherence prediction achieved.
Increased operational efficiency, better visibility of email flow and an organized view of all emails, alert messages and pre-defined responses helped the communications team track incidents and maintain their Service Level Agreements.