Can I use machine learning for abandonment prediction?

As a Shopify store owner in the competitive fashion e-commerce space, cart abandonment has been my persistent nightmare. Every month, I'm watching hundreds of potential sales slip through my fingers. My analytics show a staggering 70% of shoppers add items to their cart but never complete the purchase. I've tried generic pop-ups, standard discount codes, and even aggressive email remarketing, but nothing seems to move the needle consistently. I'm desperate for a smarter solution that doesn't just blast discounts indiscriminately but actually understands why customers are hesitating. My team keeps talking about 'machine learning' and 'predictive analytics', but I need a practical, plug-and-play solution that doesn't require me to hire a data scientist. I want something that can look at visitor behavior in real-time, predict their likelihood of purchasing, and then intelligently intervene with a personalized offer. The goal isn't just to recover abandoned carts, but to do so in a way that feels natural, creates genuine urgency, and respects my brand's integrity. I'm looking for technology that can essentially read my customers' minds and know exactly when and how to nudge them towards completing their purchase.