Leveraging AI and Big Data in Branding 4.0
DOI:
https://doi.org/10.55938/wlp.v1i4.144Keywords:
Branding 4.0, Industry 4.0, Branding Initiatives, Branding Model Innovation, Digitalization, Customer Experiences, Digital BrandingAbstract
The paper presents an approach framework for incorporating big data and artificial intelligence (AI) to provide superior customer solutions for Industry 4.0 (I4.0). It emphasizes the implementation of customer information, predictive analytics, and personalized promotional strategies to foster customer engagement and corporate growth. The study emphasizes the revolutionary potential of these solutions in transforming the business landscape and offers beneficial insights for businesses. The digital revolution has transformed branding decisions by creating and collecting enormous amounts of data at unparalleled rates. This presents challenges and opportunities for marketers. Despite its enormous amount and complexity, analyzing this data may provide important insights into customer behavior, choices, and trends. Integrating Big Data into branding management strategies has transformed customer understanding and value generation, giving organizations a competitive advantage and enhancing consumer engagement. The article delves into the latest developments in AI and branding, including predictive analytics for consumer behavior analysis, chatbot integration for customer service, and AI-powered content customization. It explores the potential and challenges of AI with branding, its applications in various branding segments, and its influence on branding sectors, especially in the context of Branding 4.0. This article investigates the implementation of AI in branding, with an emphasis on information expansion, managing data, and algorithmic development. It emphasizes its versatility to diverse websites and business types, as well as how AI algorithms constantly learn and improve their performance with fresh data. The research examines significant publications on AI in branding, emphasizing its diverse applications across several branding categories. It explores the evolving landscape of digital branding, highlighting the role of ML and AI-powered prediction models for creating highly personalized and dynamic brand experiences. It emphasizes the vital role of monitoring brand advocacy operation, as well as the necessity of businesses staying adaptable in this transforming market in order to handle challenges and capitalize on opportunities.
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Copyright (c) 2024 Shailender Thapliyal, Jasvinder Kaur
This work is licensed under a Creative Commons Attribution 4.0 International License.
