Prediksi Stok Otomatis Dengan AI Untuk Mengoptimalkan Pengeluaran Retail Sebagai Inovasi Dalam Bisnis

This research paper explores the transformative potential of integrating Artificial Intelligence (AI) and Blockchain technology in business innovation (BI-AIBT), focusing on the retail sector. Investigating the impact of BI-AIBT on operational challenges, the study highlights how AI-driven automated stock prediction, exemplified by the Smart Inventory AI (SI-RAI) solution, addresses critical pain points in inventory management, supply chain inefficiencies, and interdepartmental collaboration. Through qualitative research involving interviews across various retail divisions, the paper reveals the pressing need for streamlined solutions to optimize spending, enhance customer satisfaction, and enable data-driven decision-making. The findings underscore the substantial expectations surrounding SI-RAI, signaling its potential to revolutionize retail operations by offering predictive insights, fostering interdepartmental collaboration, and ultimately driving efficiency, financial growth, and market competitiveness.