Cart abandonment is one of the most expensive problems in ecommerce. The average abandonment rate is around 70 percent, meaning the majority of shoppers who add an item to a cart leave without purchasing. AI attacks this problem from multiple angles simultaneously. Real-time intent detection identifies shoppers who are showing signs of abandonment (extended hesitation, cursor movement toward the back button) before they leave. AI can trigger an intervention at precisely this moment: a chat message offering to answer questions, a discount display, or a trust signal. Timing matters enormously, and AI identifies the right moment automatically. Abandonment recovery sequences are where most businesses start. When a shopper leaves without purchasing, AI triggers a personalised sequence: an email within an hour with the abandoned items, a follow-up the next day with social proof (reviews of those products), and optionally an offer if they still have not converted. Each message is personalised and timed based on the individual's behaviour pattern. Pattern analysis provides longer-term value. AI identifies which pages, products, or steps in the checkout process have the highest abandonment rates. This points to specific friction that, when resolved, improves conversion for all future shoppers, not just the ones receiving recovery sequences. For Cyprus businesses with ecommerce elements, including property rental and service booking, AI cart recovery principles apply directly. A booking started but not completed is the same problem as an abandoned cart.