Ai-Driven Predictive Analytics n the Metaverse Era: Forecasting Halal Consumption Trends within the Framework of Islamic Marketing
DOI:
https://doi.org/10.37680/ijief.v5i2.9409Keywords:
AI-driven predictive analytic;Metaverse; Halal consumption; Islamic marketing; Maqasid al-Shariah.Abstract
This paper examines the integration of Artificial Intelligence (AI)-based predictive analytics and Metaverse in predicting halal consumption trends within the ethical and spiritual framework of Islamic marketing. The primary research question explores how AI-based predictive analytics can predict halal market trends while remaining aligned with Sharia principles and consumer trust. The novelty of this study lies in the integration of AI and immersive technology as an ethical tool to advance the global halal economy. Using a qualitative systematic literature review of Scopus-indexed publications from 2019 to 2025 (k = approximately 45 articles), the findings indicate that AI improves the accuracy of halal market predictions through big data processing, sentiment analysis, and digital consumer behavior modeling. Meanwhile, Metaverse introduces an immersive virtual environment that encourages halal engagement through blockchain-based certification and an interactive marketplace. Data synthesis revealed that young Muslim consumers prioritize an "ethical digital footprint" and blockchain-based supply chain transparency when interacting in virtual spaces. The main contribution of this research is the development of a Halal-Meta Predictive Framework (HMPF), which combines sharia principles with deep learning algorithms to mitigate the risk of Islamic legal uncertainty in virtual transactions. This research bridges technological innovation with Islamic ethical philosophy; practically, this research offers insights for developing sharia-compliant governance, marketing strategies, and digital transformation policies across the global halal economy. This research fills a theoretical gap regarding how religious identity transforms in the future digital ecosystem.
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