Large online shops or platforms often rely on visually appealing category tiles (e.g., “Summer Dresses,” “Outdoor Furniture”) to help users navigate vast product catalogues. These tiles typically feature manually selected photos or stock imagery, which is time-consuming to curate and often lacks contextual alignment with the actual product assortment in the category.

The idea:
Use AI to automatically generate descriptive images for category tiles by analyzing the product data within each category. The system would ingest product information such as titles, descriptions, dominant colors, materials, common product types, and price ranges — and use this data to create a representative, realistic image via AI.