Latest AI news, expert analysis, bold opinions, and key trends — delivered to your inbox.
Some of the biggest names in fashion are betting on a new kind of personal shopper: ‘Ella,’ an AI-powered styling assistant designed to curate outfits, predict your taste, and increase how much you spend.
How it works: Input your size, style preferences, or event (“wedding in Paris,” “streetwear for fall”), and Ella builds a data-driven wardrobe suggestion — from jackets to jewelry — using trend analysis, your purchase history, and even seasonal stock levels.
Why it matters:
For retailers, this is about turning personalization into profit. Fewer abandoned carts. Faster decisions. Higher retention. For consumers, it’s a promise of effortless styling without the high price tag of human stylists.
But here’s the flip side:
AI stylists may steer shoppers toward excess inventory or higher-margin pieces, not necessarily what’s best for your style. And your shopping data? It’s another goldmine — body sizes, tastes, budgets — all feeding retailer AI engines.
Hot take:
If ‘Ella’ takes off, human stylists may become a luxury service, not the standard. Algorithmic styling could dominate mainstream retail, while premium labels use it to fine-tune exclusivity.
Next moves to watch:
Amazon, Zalando, and even TikTok Shop could follow, making AI styling a new battleground for fashion loyalty and influencer commerce.