Design for a data analytics product with one of world’s largest food service data sets, utilizing machine learning to help make sense of raw data and provide actionable insights to customers.
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Distilr
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Product design
Design System
A comprehensive design system was put designed from the beginning of the project and contributed to as the product grew and new features were added.
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Metrics Selection
User has the ability to add up to eight different metrics for direct comparison. Once the metrics are selected the user can see individual values and has the option to select a reference point, as well as comparison units.
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Date Range
The user has the option to select a custom date range or select from one of the most common date range presets (month/quarter/year).
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Filtering
Important part of the application was having the ability to set up complex filter selections across customer / location and individual ingredients. As this process can take some time for the user, we have also included the ability to save filter selection, allowing the user to come back to a specific set of filters at any time.
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Graphs
After a lot of research and brainstorming we decided on using area graphs as they allowed the most consistent design between a 4 week graph vs 52 week graph.
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Drilldown View
In addition to the Metrics view the user has the ability to switch to drilldown view, in which they can navigate to a granular detail to compare year over year values for specific locations, items, manufacturers and distributors
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