My Daily Nosh

Leading the design work for a client wishing to create a grocery shopping app that uses Machine Learning to order groceries and suggest recipes based on the user’s preferences, budget, and order history.

My time constraint to learn relevant machine learning practices and finish the visual designs was 2 days:

The 1st for sketching, wireframing, and designing.

The 2nd for testing and refining.

Not knowing anything about ML, I started researching ML patterns and best uses in mobile UIs. Material Design’s guide for image recognition served as the base for my image capturing screens.

This design challenge started with a 2-day deadline for completion. I feel that this challenge made me more agile in my visual design process as I pushed through to flow and sketch for the first day, and tested to iterate for a finished design on the next.

It surprised me to see the satisfaction and excitement that personalized content gives to users. Relevant design through machine learning allows users to feel more connected to certain apps and brands, making designs not only extremely helpful to customers but also very valuable to brand shareholders as increased satisfaction, increases engagement and revenues.