Artificial intelligence (AI) has the potential to transform product catalog management for retail companies by streamlining processes that are traditionally labor-intensive, thereby enhancing efficiency and customer experience. By employing machine learning algorithms, AI can analyze customer behavior and sales data to optimize product recommendations, improving customer satisfaction and driving repeat business, particularly in e-commerce. AI also aids in product categorization, tagging, and localization, ensuring that product information remains current and accurately targeted to various markets. Additionally, AI can enhance search engine optimization by analyzing search data to boost product visibility. However, the adoption of AI comes with challenges, such as addressing potential biases in AI algorithms and managing the costs and skills required for implementation. AI-as-a-service platforms offer a cost-effective solution that allows companies to leverage AI technology without a full-scale investment. Despite these challenges, AI holds significant promise for improving retail operations by automating tasks and providing insights that can lead to increased sales and a more personalized customer experience.