eCommerce - FASHION
AI Curated Outfits That Boost Sales
goal
Challenge Faced
Shoppers often browse without a clear purchase intent, leading to cart abandonment and missed upsell opportunities. Static product suggestions lack personalization.
solution
Our Solution
We implemented an AI recommendation engine that delivers real-time personalized outfit and accessory suggestions based on browsing behavior, purchase history, and trending styles.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Track user interactions across site/app.
Step 2
Build user style profile using ML clustering.
Step 3
Match preferences with product catalog.
Step 4
Deliver outfit bundles and upsell recommendations dynamically.
Quantifiable Benefits
Uplift in cross-sell & upsell revenue
15
%
Increase in average cart value
0
%
Higher click-through rates on recommended items
0
%
Stronger customer loyalty through tailored suggestions
0
%
Who’s Using This
Fast-fashion platforms like Zalando, SHEIN
Premium retailers offering curated collections
Marketplaces with large product catalogs
Why It Matters
AI personalization converts browsers into buyers by creating a shopping journey tailored to each individual’s tastes.