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All Journal Jurnal Ilmiah Wahana Pendidikan
Rachmah, Nur Nabillah
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Prediksi Stok Otomatis dengan AI untuk Mengoptimalkan Pengeluaran Retail Sebagai Inovasi dalam Bisnis Rachmah, Nur Nabillah; Fadil, Cholid
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 16 (2024): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13764971

Abstract

This research paper explores the transformative potential of integrating Artificial Intelligence (AI) and Blockchain technologies in business innovation (BI-AIBT), with a focus on the retail sector. By investigating the impact of BI-AIBT on operational challenges, this research highlights how AI-driven automated stock prediction, exemplified by the Smart Inventory AI (SI-RAI) solution, can address critical issues in inventory management, supply chain inefficiencies, and interdepartmental collaboration. Through qualitative research involving a literature study, this paper reveals the urgent need for an efficient solution to optimize spending, improve customer satisfaction, and enable data-driven decision-making. The findings underscore the great expectations for SI-RAI, signifying its potential to revolutionize retail operations by offering predictive insights, fostering interdepartmental collaboration, and ultimately driving efficiency, financial growth, and market competitiveness.
Co-Authors Cholid Fadil