OCR and AI Augmented CRM Systems: A Novel Approach to Customer Data Mining and Analysis for Digital Transformation

Sharda Kumari, Avinash Malladhi

Abstract: Customer Relationship Management (CRM) systems have become vital for businesses to manage and analyze customer data in the digital era. This research paper investigates the integration of Optical Character Recognition (OCR) and Artificial Intelligence (AI) technologies into CRM systems as a novel approach for customer data mining and analysis. It explores the evolution of OCR and AI technologies, highlighting their significant advancements in CRM applications. The paper also discusses state-of-the-art AI algorithms, such as deep learning, computer vision, and natural language processing, which have enhanced OCR capabilities in CRM systems. Despite challenges like data privacy, accuracy, scalability, and system complexity, innovative solutions and ongoing research aim to address these limitations. Real-world use cases and success stories demonstrate the potential of AI-augmented OCR in transforming customer data mining and analysis. Future research opportunities include emerging trends like explainable AI, transfer learning, and unsupervised learning, which are expected to revolutionize CRM systems and drive digital transformation in businesses.

Keywords: OCR, Artificial Intelligence, CRM, Digital Transformation, Machine learning, NLP

How to Cite?: Sharda Kumari, Avinash Malladhi, "OCR and AI Augmented CRM Systems: A Novel Approach to Customer Data Mining and Analysis for Digital Transformation", Volume 12 Issue 4, April 2023, International Journal of Science and Research (IJSR), Pages: 1524-1530, https://www.ijsr.net/getabstract.php?paperid=SR23425100603, DOI: https://dx.doi.org/10.21275/SR23425100603