"If someone orders two Happy Meals at 5 o’clock, for instance, that’s probably a parent ordering for their kids; highlight a coffee or snack for them, and they

"If someone orders two Happy Meals at 5 o’clock, for instance, that’s probably a parent ordering for their kids; highlight a coffee or snack for them, and they might decide to treat themselves to a pick-me-up. And as with any machine-learning system, the real benefits will likely come from the unexpected." It looks like 'machine learning', 'data mining', etc. gets thrown around a lot even when irrelevant. That machine was never going to find out that it was a parent in there ordering 2 happy meals for their kids. Its more like 'if 2 an item tagged for_kids sold then suggest item tagged for_adults, if weather_temp > 40 degreea then suggest ice coffee otherwise hot coffee' where is machine learning in that? I honestly would prefer they showed me my recent orders based on my cars license plate just like dominos.com does when I go back on their website