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.
The Conversational ordering journey begins with desire for a menu category like Indian Cuisine, or a specific food item like Pancakes or Fettuccine Alfredo.
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