International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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From Multi-Channel to AI-Powered Omni-Channel: Engineering a Frictionless Customer Journey

Author(s) Ms. Muhsina T
Country India
Abstract The modern digital world requires a significant transformation beyond multi-channel marketing, which results in disjointed consumer experiences due to discrete channels. This paper asserts that Artificial Intelligence (AI) serves as the essential driver for developing a genuine AI-driven omnichannel strategy, which flawlessly amalgamates all touchpoints into a seamless and tailored consumer experience. The study empirically illustrates a robust positive association (r = 0.624, p < 0.01) between social media engagement and website conversion rates. Moreover, regression research reveals that social media advertising (β = 0.421) is the most important predictor of sales income, followed by search engine advertisements and email marketing. This emphasizes the need for an integrated, data-driven budget allocation. Cluster analysis divides consumers into three categories based on their behavior: High, Moderate, and Low Value. This shows that various engagement techniques are needed for each category. The results together show how AI may be used to break down data silos, combine consumer profiles, and dynamically manage interactions across channels. The paper concludes that adopting an AI-driven omni-channel model is not only a competitive advantage but also an essential requirement for survival and growth in a customer-centric economy, while recognizing the associated challenges of ethical implementation, measurement, and talent acquisition.
Keywords AI-Powered Omni-Channel, Customer Journey Integration, Artificial Intelligence in Marketing, Personalization, Data Silos, Customer Segmentation, Digital Marketing Strategy, Frictionless Experience
Field Business Administration
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-25
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.56460
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E-ISSN 2582-2160
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