ScruberJay
Household Food Waste Management Application
Case study
Project timeline
September 2021-December 2021
Client/ Support
HPI School of Design Thinking
Hasso Plattner Institute, Germany
Team
Bareen Parvez
Clara Grunwald
Lars Massaneck
Leonard Paetzmann
My roles
User research
User experience design
User interface design
Illustrations
Overview
ScruberJay is a digital solution aimed at reducing household food waste by streamlining grocery management. The app syncs with supermarket chains to automatically track users' purchases, offering storage tips, expiry reminders, and quick meal suggestions using ingredients on hand. By leveraging machine learning, ScruberJay predicts the shelf life of perishable items and helps users make the most of their groceries before they spoil. This seamless ecosystem connects supermarkets and consumers, making food management more efficient and sustainable.
Main functions
Import purchased groceries with storage tips
The application allows users to get their purchased groceries imported through a barcode that cashier scans at the supermarket checkout, suggesting storage ideas for the purchased perishable food; alternatively the QR code/ bar code scanner on the application allows the user to scan their receipt’s code in case they missed getting it scanned at the counter.
Alerts when food is expiring with recommended recipies
Throughout the week Scruberjay reminds the user what to use up on which day and recommends dishes built to their taste and dietary restraints (that were logged while signing up) with what is left in their pantry.
Dashboard with pantry status
The dashboard has an overview of the remaining food in the pantry with recommended recipies to cook with the available food.
Grocery recommendations for future shopping
Based on saved recipies & dietry restraints logged in the application, the application recommends groceries for future shopping rounds.
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