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Dr. Ruchi Pandey is an Assistant Professor in the Faculty of Commerce at The ICFAI University, Raipur, Chhattisgarh, India. Her academic affiliation is associated with commerce and business education. Her contribution explores the application of intelligent technologies for understanding customer behavior and supporting e-commerce decision-making.
The swift growth of e-commerce platforms, digital marketplaces, mobile shopping apps, and online retail services has altered consumer buying habits and corporate practices. Modern e-commerce platforms create vast volumes of heterogeneous customer information, including browser histories, transaction records, product photos, textual reviews, search queries, clickstream activities, demographic information, and interaction patterns. Conventional recommendation systems largely rely on singular data sources, like product evaluations or buying histories, which may constrain their capacity to comprehend intricate customer inclinations and evolving purchasing motivations. This section introduces a conceptual multimodal artificial intelligence framework for analysing client behaviour in e-commerce and providing intelligent product recommendations. Evaluation methodology, explainable suggestions, privacy considerations, implementation challenges, and upcoming research paths are also explored. The suggested approach establishes a basis for creating adaptable, context-sensitive, and individualised e-commerce recommendation systems.