--- Discover how an online store increased sales 400%, reduced CAC 65% and improved ROAS 320% using AI for personalization, automation and conversion optimization. ## The Problem: Cart Abandonment and Low Recurrence "FashionStyle", an emerging clothing brand, had traffic but few sales. 85% of carts were abandoned and customers rarely returned to purchase. ## The Solution: Dynamic Personalization with AI They implemented a suite of AI tools to personalize the entire user experience (Customer Journey). ### 1. Product Recommendations (Nosto / LimeSpot) Instead of "Popular Products", the website displayed "Chosen for you" based on real-time browsing history. If a user looked at leather jackets, the home page changed to show leather accessories the next time. ### 2. Cart Recovery via SMS/WhatsApp (Klaviyo AI) AI determined the best channel and time. * Young User -> WhatsApp at 8 PM. * Senior User -> Email at 10 AM. AI-generated message: *"Hi Ana, your leather jacket is about to sell out. Should we hold size M for you?"* ### 3. Virtual Stylist Chatbot A bot trained with the product catalog acted as a "Personal Shopper". *"I have a daytime garden wedding, what should I wear?"*. The bot suggested complete outfits, increasing the Average Order Value (AOV). ## Results in 8 Months * **Sales:** +400% (driven by higher conversion and average order value). * **ROAS (Return on Ad Spend):** Improved from 2.5x to 8x by directing ads to audiences similar to their best customers (predictive LTV). ## Conclusion In E-commerce, AI is not just for saving costs, it's for **selling more**. The ability to offer the right offer to the right person at the exact right time is what differentiates the giants from the small stores. ---