Abstract

This research focuses on the topic of using AI in color variant management in products to enhance the appeal and performance of the products in the marketplace, by incorporating artificial intelligence, deep learning, and neural network systems. Applying consumers and products information, preferences, buying history and sales history, WE created AI models to predict and change product colors in real-time. The complete workflow used comprises data gathering, processing, and feature extraction, model training, integration of the color adjustment software tools, and finally, testing and validation. The efficiency of such AI-driven interventions was analyzed through the consumer satisfaction indices, the sales results, and the engagement data based on the consumption of digital platforms. This study demonstrates valuable potential of AI to improve product design application and development while providing valuable suggestion for Business adapting and improving market outcomes according to the changing consumer trends. Such an application of AI implements a new best practice in the ways of enhancing futuristic consumer-oriented marketing approaches.