Apexon CustomerAIQ Intelligent Customer Analytics Platform

In a highly competitive and regulated environment where customer experience, risk management, and revenue growth must be balanced simultaneously. Customer data is often fragmented across systems, limiting the ability to generate real-time insights and personalized engagement. This leads to: • Inefficient marketing spend due to lack of targeted engagement • Delayed identification of at-risk customers or potential defaults • Limited cross-sell and upsell opportunities • Inability to detect fraud patterns proactively • Poor visibility into customer sentiment and behaviour CustomerAIQ addresses these challenges by enabling AI-driven, real-time customer intelligence and decisioning, built on AWS cloud-native services including Amazon SageMaker (ML models), Amazon Bedrock (GenAI/NLP), Amazon S3 (data lake), and AWS Lambda (real-time processing).

Banking-Specific Use Cases • Customer Churn Prediction & Retention Identify at-risk customers early and trigger personalized retention strategies to safeguard revenue • Next Best Offer (NBO) & Personalization Recommend relevant financial products (loans, cards, insurance) to improve cross-sell and upsell • Credit Risk Scoring & Lending Decisions Enhance underwriting models using AI-driven insights to reduce default rates • Fraud Detection & Transaction Monitoring Detect anomalous transaction patterns in real time to prevent financial fraud • Voice of Customer & Sentiment Analysis Analyse call centre transcripts and feedback to improve customer experience and service delivery

Key Capabilities & Differentiators (USP) • Unified Customer Intelligence Layer Combines behavioural, transactional, and demographic data for holistic insights • Real-Time Decisioning Engine Enables instant actions across marketing, risk, and engagement workflows • Explainable AI for BFSI Compliance Ensures transparency in credit decisions, fraud detection, and personalization models • Hyper-Personalization at Scale AI-driven recommendations tailored to individual customer needs • Seamless AWS Integration Scalable, secure architecture aligned with enterprise banking environments

ROI / Business Impact • 20–25% improvement in marketing ROI • 15–20% reduction in customer acquisition costs • 30–40% improvement in cross-sell / upsell conversion rates • Significant reduction in fraud losses through real-time detection • Improved customer retention and lifetime value