A generative ai based sales prediction and inventory optimization system

Abstract

The present invention is related to a generative AI based sales prediction and inventory optimization system. The generative AI-based sales prediction system enhances demand forecasting and inventory optimization by integrating generative adversarial networks (GANs) for data augmentation and long short-term memory (LSTM) networks for time-series forecasting. By analyzing historical sales data, seasonal trends, weather conditions, and event schedules, the system accurately predicts future demand, helping businesses maintain optimal stock levels while minimizing overstocking and shortages. AI-powered decision-making ensures real-time inventory adjustments, reducing stock wastage and improving efficiency. The system operates on NVIDIA Jetson Nano, providing high-performance, low-power AI processing without reliance on cloud servers, making it cost-effective and secure. With continuous learning capabilities, it dynamically adapts to changing market conditions, making it ideal for industries such as retail, e-commerce, and supply chain management, where accurate forecasting and operational efficiency are critical.