Our client is a leading realty developer in Asia, known for its luxury projects and timely delivery. The client has created some unique and innovative residential and commercial properties, whose popularity is increasing substantially. Our client has earned numerous awards for their excellence in real estate development and the positive impact they create on society.
- PROLIM Digital understood the challenges faced by the client and proposed a comprehensive AI and data analytics-driven approach. Our experts focused on two key areas: Customer Service Dashboard Analytics and Customer Loyalty Program Analytics to help build customer loyalty programs and prevent customer churn. They leveraged Snowflake’s cloud architecture, machine learning models, and NLP libraries to help the client navigate these challenges:
- Customer Service Dashboard (Data Analytics)
PROLIM Digital developed a dynamic customer service dashboard that enabled the client to analyze service performance across multiple dimensions such as brand, region, city, project, department, and individual agents. This dashboard helped assess how effectively issues were resolved in a single interaction. The solution integrated data from Salesforce to track case resolution efficiency. - The dashboard provided a clear view of service performance, helping identify areas for improvement, monitor agent productivity, and optimize resources to enhance customer satisfaction. It also reduced repeat calls, improved resolution times, and enhanced overall customer experience. PROLIM Digital implemented an advanced Sentiment Analysis model using NLP techniques to analyze customer feedback, complaints, and suggestions. The model categorized sentiment into positive, negative, and neutral, while also flagging critical issues requiring immediate attention.
- This analysis enabled the client to prioritize complaints based on impact, reduce response times, and improve overall service team efficiency. By identifying commonly used words and sentiment patterns, the client could detect emerging issues and proactively enhance service delivery. PROLIM Digital also developed a Root Cause Analysis solution using machine learning algorithms to identify underlying causes of customer complaints. By analyzing data across projects and service interactions, the system detected patterns and root causes, helping design effective customer loyalty programs.
- This model further improved complaint categorization, ensuring service teams addressed the right issues at the right time, ultimately enhancing customer satisfaction.
- The implementation of PROLIM Digital’s AI-driven solutions led to significant improvements. Here are some of the key results achieved by the client:
Improved Customer Service Efficiency: With this solution, the client optimized customer service, reduced resolution time, and increased overall satisfaction. - Better Targeting of High-Value Customers: With the Customer Lifetime Value dashboard, the client achieved more effective targeting for marketing and retention strategies, improving both customer acquisition and retention.
Enhanced Loyalty Program Insights: Loyalty Analytics identified key drivers of customer loyalty. This enabled the client to deliver personalized offers, increasing engagement and long-term loyalty. - Proactive Issue Resolution: Sentiment and Root Cause Analysis helped identify and address emerging issues early, improving brand reputation and customer satisfaction.
- Data-Driven Decision-Making: The client can now process data in real time, enabling faster and more informed decision-making across departments.
