Smart Retail Revolution: Integrating AI-Blockchain Hybrid Algorithm for Intelligent, Trusted, and Future-Ready Retail Ecosystems

In the retail sector rapid growth of digital transformation, AI-driven with Blockchain for customer/consumer experiences, operational efficiency, transparency, and trust. AI provides the decision-making through demand forecasting, recommendation systems, dynamic pricing, and fraud detection, while blockchain technology provides the data integrity, transparency, security, and decentralized trust across retail value chains. This conference paper presents AI-Blockchain hybrid algorithm for smart retail ecosystems. It analyzes and provides how AI-driven analytics and Blockchain-based distributed ledgers and AI-prediction can jointly enable autonomous transactions, secure data sharing, and trustworthy personalization. The proposed AI-Blockchain hybrid algorithm aims to create a smart retail revolution and evaluated by comparing three retail system types as AI-only retail systems, blockchain-only retail systems, and the proposed AI–blockchain hybrid retail algorithm. AI-based intelligence implemented as Random Forest (RF) and Long Short-Term Memory (LSTM) models for off-chain used to find the prediction and Practical Byzantine Fault Tolerance (PBFT)–based permissioned blockchain is used to ensure secure transaction validation, consensus, immutability and produced as smart contracts automatically. Final results obtained that fraud detection, trust, and scalability