Retailers often face challenges in managing product-content chaos, which can lead to issues such as abandoned online shopping carts, product-content debt, and increased return rates due to mismatches between product descriptions and actual items. To address these challenges, integrating planning-based AI pipelines is recommended, as they transform disorganized data into structured, compliant, and customer-friendly content. This approach involves a multi-step workflow that includes ingesting and normalizing supplier feeds, qualifying and diagnosing SKUs, generating targeted copy, validating content against regulations, and learning from post-publish data. By doing so, retailers can achieve faster time-to-market, consistent brand voice, higher conversion rates, and greater operational efficiency. Such automation not only reduces content-related risks but also turns potential liabilities into assets, ensuring that product listings are always accurate, compliant, and aligned with brand standards.