Scalable Content Generation
From use case: Scalable Content Generation
Several major retail and entertainment companies are demonstrating how artificial intelligence can transform content creation and customer engagement.
Global fashion companies are using similar technology to streamline content workflows. H&M Group, for instance, applies AI models to predict seasonal demand and align production with forecasted trends. This capability enables the retailer to automatically generate thousands of multilingual product descriptions within hours—an operational leap that traditional teams could not achieve at scale.
In the gaming sector, Square Enix Holdings Co. uses AI-driven analytics to personalize marketing materials for individual players. By tailoring email content and in-game promotions to each user’s preferences, the company increased email open rates by 20% and improved player retention by 10%, according to internal performance data.
Industry-wide findings reinforce the business case for AI-generated content. Surveys from Content Marketing Institute and HubSpot indicate that 68% of companies have reported higher returns on investment from content marketing since adopting AI tools. More than half of content marketers, about 54%, use AI to generate ideas, while only 6% rely on it to draft full articles. These figures suggest that the most effective organizations strike a balance between automation and human creativity, using AI to augment rather than replace editorial expertise.