Generative AI and Intelligent Automation Framework For Smart Manufacturing, Retail, Marketing, and Supply Chain Operations

Abstract

Generative Artificial Intelligence (AI) is revolutionizing business operations through intelligent automation, predictive analytics, and data-driven decision making. Business processes in manufacturing, retail, marketing, and logistics increasingly rely on integrated artificial intelligence solutions to boost effectiveness and responsiveness. In this research paper, an innovative Generative AI and Intelligent Automation Framework is formulated to facilitate connected business processes. The framework includes generative AI, predictive analytics, automation, and human supervision in four operational domains. A quantitative experimental research design is utilized to analyze AI-enabled processes in terms of accuracy of operation, processing time, degree of automation, forecast accuracy, response time, resource utilization, and consistency of decision making. All functions show high performance. Marketing demonstrates 95.1% accuracy of content, whereas manufacturing shows 95.1% accuracy of quality monitoring.  Demand forecasting in retail reaches a level of 95.2% accuracy, and inventory control has 95.2% inventory accuracy. Operational analysis shows a decrease in processing time in reporting operations by 62.3% and an automation rate of 85% in executing workflows. Human supervision analysis shows an accuracy of 94.6% for output results and 93.8% for decision-making. Statistics show a significant difference in conventional versus AI-powered processes in all major criteria. The processing time reduces by 57.2% and the automation process improves significantly. The study findings show that integrating Generative AI can enhance operational efficiency, decision-making, forecasting, and workflow automation.