AI-Powered Personalization in SuperApps: International Case Studies on User Engagement

The proliferation of SuperApps—integrated digital platforms offering a suite of services such as messaging, e-commerce, payments, and transportation—has redefined how users interact with technology. Central to the success of these platforms is artificial intelligence (AI)-powered personalization, which enables highly adaptive, user-centric experiences. This research investigates the mechanisms, strategies, and outcomes of AI-driven personalization within SuperApps and its influence on user engagement. Drawing upon a multidisciplinary literature review and international case studies from industries such as retail, finance, and telecommunications, this paper examines how AI techniques—including machine learning, deep learning, and natural language processing—facilitate real-time data processing, predictive modeling, and content adaptation. The findings highlight that personalization significantly enhances key engagement metrics, such as click-through rates, conversion rates, and user retention. Case examples from organizations such as H&M, Kanetix, and the Bank of Montreal illustrate how ethical AI implementation, cross-channel integration, and explainable recommendation systems contribute to improved consumer trust and operational performance. The study also addresses critical challenges, including data privacy, algorithmic bias, and the tension between personalization and user autonomy. Recommendations are proposed for mitigating these risks through responsible AI governance, privacy-by-design frameworks, and transparency-enhancing practices. By synthesizing practical and academic insights, this paper contributes to the emerging body of knowledge on AI integration in digital ecosystems. It offers actionable strategies for developers, marketers, and policymakers to harness AI responsibly in SuperApps. Furthermore, it outlines future research directions in explainable AI, behavioral economics, and multimodal personalization, ultimately aiming to shape more inclusive, secure, and engaging digital platforms globally.

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Publication Details

Journal
Journal of Software Engineering and Applications
Published
2025-01-01
DOI
https://doi.org/10.4236/jsea.2025.187016
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
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article

AI-Powered Personalization in SuperApps: International Case Studies on User Engagement

Zaki Ali Bayashot
1 links
Journal of Software Engineering and Applications
Technology Use by Older Adults
article

AI-Powered Personalization in SuperApps: International Case Studies on User Engagement

Zaki Ali Bayashot
article en

Abstract

The proliferation of SuperApps—integrated digital platforms offering a suite of services such as messaging, e-commerce, payments, and transportation—has redefined how users interact with technology. Central to the success of these platforms is artificial intelligence (AI)-powered personalization, which enables highly adaptive, user-centric experiences. This research investigates the mechanisms, strategies, and outcomes of AI-driven personalization within SuperApps and its influence on user engagement. Drawing upon a multidisciplinary literature review and international case studies from industries such as retail, finance, and telecommunications, this paper examines how AI techniques—including machine learning, deep learning, and natural language processing—facilitate real-time data processing, predictive modeling, and content adaptation. The findings highlight that personalization significantly enhances key engagement metrics, such as click-through rates, conversion rates, and user retention. Case examples from organizations such as H&M, Kanetix, and the Bank of Montreal illustrate how ethical AI implementation, cross-channel integration, and explainable recommendation systems contribute to improved consumer trust and operational performance. The study also addresses critical challenges, including data privacy, algorithmic bias, and the tension between personalization and user autonomy. Recommendations are proposed for mitigating these risks through responsible AI governance, privacy-by-design frameworks, and transparency-enhancing practices. By synthesizing practical and academic insights, this paper contributes to the emerging body of knowledge on AI integration in digital ecosystems. It offers actionable strategies for developers, marketers, and policymakers to harness AI responsibly in SuperApps. Furthermore, it outlines future research directions in explainable AI, behavioral economics, and multimodal personalization, ultimately aiming to shape more inclusive, secure, and engaging digital platforms globally.

Journal of Software Engineering and ApplicationsVol. 18(07)
Innovation Team (China) (HK)
Openalex Percentile: Top 69%
Technology Use by Older Adults
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