Case Study: Retail
Increase efficiency by automating email classification
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.