Second Version on the Product Color Variation Management using Artificial Intelligence

This research explores using artificial intelligence (AI) for managing color variations in products to boost market performance by optimizing product aesthetics and aligning with consumer preferences. The study investigates a system that leverages AI, deep learning, and neural networks to analyze real-time consumer data, including product preferences, buying history, and sales history. An AI model was created to predict and modify product colors dynamically, aiming to maximize consumer appeal and engagement. The system workflow includes stages for data gathering, processing, feature extraction, model training, software integration, and testing. AI-driven interventions were evaluated through consumer satisfaction, sales metrics, and digital engagement analytics, illustrating the potential for AI to influence product design effectively. This research suggests a transformative best practice for consumer-centered marketing, where AI facilitates color customization aligned with evolving consumer trends. (Sasibhushan Rao Chanthati, 2022)