Mr. Nitin Saksena

Prediction of Customer Behavior in Real Time: Artificial Intelligence and Data Streaming

Abstract:

Understanding and anticipating customer behavior is critical for driving engagement and revenue on any digital platform. Artificial Intelligence (AI) has transformed this capability through advanced predictive models that determine the Next Best Action (NBA) for each customer in real time. By leveraging techniques such as propensity modeling, contextual multi-armed bandits, and reinforcement learning, e-commerce platforms can dynamically personalize experiences whether recommending products, offering incentives, or optimizing content delivery. This session explores how AI-powered NBA systems integrate behavioral data, machine learning, and decisioning engines to maximize customer lifetime value while respecting privacy and business constraints. Attendees will gain insights into practical architectures, model selection strategies, and success metrics that enable organizations to move from static campaigns to adaptive, customer-centric journeys.

Profile:  

Nitin Saksena is a technology leader with extensive experience in enterprise architecture driving digital transformation in retail and e-commerce. As a seasoned Enterprise Architect, he is specialized in Omni Channel Enterprise Architecture initiatives, enabling scalable, resilient, and customer-centric digital platforms. His leadership focuses on innovation in data platforms, AI/ML-driven personalization, and real-time analytics to enhance customer experience. Nitin combines deep technical expertise with strategic vision, architecture roadmap, delivering actionable insights to navigate digital disruption. His areas of focus are Digital Transformation & Omni-Channel Strategy, Enterprise Architecture & Cloud Platforms, AI/ML for Personalization and Health Tech, Data Engineering & Real-Time Analytics. He has an expertise in designing highly scalable, distributed architecture using cloud and edge computing. He is a Fellow Membership of IETE, Senior Member of IEEE, Fellow Membership of IAEME, Sigma Xi and AI 2030.