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@article{199018,
        author = {P.Avinash Reddy and Supriya Shivaji Mane and Vinay Kumar Vadla and Vattem Priya Indu},
        title = {AI-Driven Customer Analytics : Data Mining Based Behaviour (EMOTION INTELLIGENCE : APERSONALIZED RECOMMANDATION SYSTEM USIG FACIAL AND VOCAL CUES)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12787-12794},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199018},
        abstract = {As organizations advance in their digital transformation journey, examining customer behavior has become a vital aspect of improving the customer experience and business success. This paper presents an AI-enabled customer analytics system based on data mining and emotion intelligence that makes individualized recommendations based on customers' facial and vocal expressions. It consists of three modules: the Facial Emotion Recognition Module, which assesses customers' emotional state by reviewing their facial expressions in real-time; the Voice Tone Analysis Module, which interprets gathered linguistic features to derive sentiment and engagement; and the Personalized Recommendation Module which utilizes the contextualized customer data regarding both emotional and behavioral data to generate personalized recommendations of products or services that are most relevant to the customer. More specifically, this multimodal emotion recognition,a combination of emotion-aware AI and data analytics, results in not only personalization but also enhanced comprehension and responses to customer needs, resulting in improved engagement, satisfaction and decision-making. Overall, the findings of this paper demonstrate the possibilities for emotion-aware AI utilization to develop customer interaction platforms that have greater empathy and user-focus.},
        keywords = {Artificial Intelligence (AI), Customer Analytics, Emotion Recognition, Facial Emotion Recognition (FER), Voice Tone Analysis},
        month = {April},
        }