Unlocking the Potential of Customer 360 with Big Data and AI: A Strategic Framework for Customer Intelligence and Predictive Analytics in Industry 4.0
Published 22-01-2024
Keywords
- Customer 360,
- Artificial Intelligence,
- Customer Intelligence,
- Predictive Analytics,
- Personalized Marketing
- Data Integration ...More
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
This paper proposes a strategic framework for leveraging the convergence of big data and artificial intelligence (AI) to construct robust Customer 360 solutions, tailored for the demands of Industry 4.0. The framework emphasizes the synthesis of customer intelligence, predictive analytics, and personalized marketing strategies to foster heightened customer engagement and catalyze business expansion within the contemporary industrial landscape. Through the amalgamation of advanced data analytics techniques and AI-driven algorithms, organizations can unlock the latent potential within their customer data repositories, thereby gaining profound insights into consumer behavior, preferences, and trends. By harnessing the power of AI, specifically machine learning and deep learning algorithms, businesses can transcend traditional data processing limitations, enabling the extraction of actionable insights in real-time. The strategic framework outlined herein delineates a systematic approach to deploying Customer 360 solutions, encompassing data acquisition, integration, analysis, and application stages, within the context of Industry 4.0. Furthermore, it elucidates the pivotal role of personalized marketing strategies in fostering enduring customer relationships and driving sustainable business growth. This paper underscores the transformative potential of Customer 360 solutions, underpinned by big data and AI technologies, in reshaping the contemporary business landscape, and offers actionable insights for organizations seeking to capitalize on these emerging trends.
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References
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