Developers building a Barbie-inspired digital wardrobe can model garments as entities with attributes such as type, color, season, and a wear count. A lightweight recommendation layer can query the database for garments that have not been worn within the last N days, ensuring the user never repeats an outfit. The UI can present a carousel of suggested combinations, while a background job updates wear timestamps after checkout. This approach reduces wardrobe clutter and can save hundreds each year.
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