AI analyzes user behavior like clicks and navigation paths to find friction points, such as why shoppers abandon carts. Developers get concrete data to redesign interfaces and smooth out the experience where users hit dead ends.
You want to see like where people are clicking on things and how they're interacting with your software, right? In the web world, if you have a mobile ordering or a web front end for online ordering and you start seeing an increase in like cart abandonment, you want to understand like what people are clicking on and what paths they're going down that are leading to a higher cart abandonment rate, because there's nothing more pricey in e-com than cart abandonment. And so AI can definitely help there a lot, like Springboard helped there, you know, having a keystroke logger, for lack of a better term, to understand what people are doing. When they hit brick walls and when things become ineffective or inefficient. AI can be a big leapfrog-type event that can really illustrate to developers where, how, and why you can build more efficient to navigate, more pleasurable to use software.
