Intelligent Automation for Enterprise Growth: Real-Time ML, Deep Learning, and SAP Integration
DOI:
https://doi.org/10.15680/IJCTECE.2025.0804007Keywords:
Intelligent automation, Real-time machine learning, Deep learning, SAP integration, Enterprise scalability, Data streaming, Digital transformationAbstract
Intelligent automation is emerging as a transformative enabler for scalable enterprise growth, particularly as organizations increasingly rely on real-time data processing and integrated digital ecosystems. This work presents a unified framework leveraging real-time data pipelines, optimized machine learning models, and deep learning architectures to enhance operational efficiency, decision-making, and predictive capabilities. The proposed model integrates seamlessly with SAP enterprise systems, enabling automated workflows, intelligent process orchestration, and secure data interoperability across business functions. By combining advanced analytics, automation technologies, and enterprise platforms, the framework supports adaptive scaling, reduces latency in data-driven decisions, and enables proactive business governance. Experimental analysis demonstrates improved performance in scalability, accuracy, and automation effectiveness across diverse enterprise use cases, including finance, supply chain, manufacturing, and customer experience. This research contributes to the advancement of intelligent digital transformation, offering a pathway toward autonomous enterprise operations supported by real-time AI.
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