Customer Satisfaction and Retention Agent

This workflow analyzes customeThis workflow analyzes customer reviews to detect sentiment and language, predicts which customers are likely to churn, and generates personalized retention emails with tailored gifts. It enables Marketing and Sales teams to proactively engage at-risk customers and review communications before sending.

• Detects negative sentiment and identifies at-risk customers using machine learning
• Predicts customer churn and recommends personalized retention offers
• Composes customized apology emails in the customer’s language
• Provides a review step for human oversight before sending communications

1. Analyze Customer Reviews:
   The workflow processes incoming customer reviews to determine their sentiment (positive, negative, or neutral) and automatically detects the language used. This enables the system to flag dissatisfied customers and tailor subsequent communications to their preferred language.

2. Predict Churn and Select Retention Offers:
   For customers identified as dissatisfied, the workflow predicts the likelihood of churn using a machine learning model. If a high risk of churn is detected, it selects a personalized gift or offer to help retain the customer.

3. Compose and Review Personalized Emails:
   The workflow generates a customized apology email for each at-risk customer, incorporating relevant purchase details and the selected retention offer. It presents the draft email for human review, allowing staff to approve or edit the message before sending.

4. Visualize and Share Insights:
   The workflow generates visual summaries and a PDF report, including pie charts and bar charts, to show churn rates and the effectiveness of retention efforts. These visualizations help teams monitor trends and report on customer satisfaction and retention outcomes.