We’ve developed several use cases for how consumers order food. Regardless of the medium, voice is different. In a voice construct, we have to get to the point and be very concise about food item selection. After all, we generally decide what we have a hankering for before we know here to go to feed that hunger. In connection with these learnings, here is a diagram of how we view the voice ordering journey, from a consumers’ perspective. The objective is, or course, to create a superior ordering experience so they will prefer to use their voice and a voice assistant gateway, instead of their thumbs. Then, really cool things can occur, like suggestive ordering, and finally, predictive ordering using machine learning, our proprietary food taxonomy and AI.