Client Overview A leading retail bank with millions of customers was struggling with poor customer satisfaction due to inconsistent service quality, delayed responses to queries, and a lack of personalized engagement. The client sought to leverage data analytics and Generative AI (Gen AI) to enhance customer experience and boost customer retention. Challenges Fragmented Customer Data: Customer insights were siloed across multiple systems, leading to a lack of unified visibility. Delayed Query Resolution: High volume of customer queries led to long wait times and inconsistent service quality. Limited Personalization: Lack of tailored product recommendations or communications resulted in a generic customer experience. Parabola9’s Solution Unified Data Platform Implemented a data warehouse using Snowflake, integrating data from CRM, transaction systems, and customer support logs. Built a 360-degree customer view, enabling real-time access to consolidated customer profiles. Conversational AI with Gen AI Developed a Generative AI-powered chatbot to handle customer queries in real-time: Trained the model on historical chat logs and FAQs. Enabled it to generate accurate and context-aware responses in multiple languages. Integrated the bot into the bank’s mobile app and website for omnichannel support. Personalized Recommendations Leveraged machine learning models to analyze customer spending patterns and transaction histories. Used Gen AI to craft personalized product recommendations and offers tailored to individual customer needs. AI-Driven Sentiment Analysis Implemented sentiment analysis using NLP to gauge customer emotions during interactions. Sentiments were used to prioritize escalation for dissatisfied customers, ensuring timely resolution by human agents. Customer Interaction Insights Built a dashboard using Power BI to provide actionable insights on customer interactions, service performance, and engagement metrics. Key Results 45% Faster Query Resolution: The Gen AI chatbot resolved 85% of queries instantly, significantly reducing wait times. 25% Increase in Customer Satisfaction: Personalized recommendations and improved service quality enhanced overall customer satisfaction scores. 20% Higher Conversion Rates: Tailored product offers increased uptake of financial products, such as credit cards and loans. Streamlined Support Operations: Human agents focused on complex queries, reducing operational costs by 20%. Real-Time Customer Insights: The unified data platform provided a single source of truth for customer insights, enabling data-driven decision-making.