Camila, Duarte and Lukas, Fischer and Haruto, Sakamoto (2023) EMERGING TRENDS IN AI-POWERED SALES AUTOMATION AND CRM SYSTEMS FOR GLOBAL ENTERPRISES. Journal of Engineering, Mechanics and Modern Architecture, 2 (12). pp. 15-30. ISSN 2181-4384

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Abstract

The rapid evolution of artificial intelligence (AI) is redefining the landscape of sales automation and customer relationship management (CRM) in global enterprises. Traditional CRM systems, while effective for data organization, often struggle with scalability, personalization, and predictive capabilities in fast-changing markets. Emerging trends in AI-powered CRM and sales automation address these challenges by enabling intelligent lead scoring, predictive forecasting, hyper-personalization, and real-time customer engagement. Advanced technologies such as natural language processing (NLP), machine learning algorithms, and conversational AI are streamlining sales workflows, enhancing decision-making, and reducing human error. Furthermore, the integration of AI with cloud platforms, IoT data streams, and mobile ecosystems is facilitating global scalability and seamless omnichannel experiences.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	26 Sep 2025 11:59
Last Modified:	26 Sep 2025 11:59
URI:	http://eprints.umsida.ac.id/id/eprint/16387

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