Problem
The ever-shifting trends and seamless convenience of modern fashion shopping have made unsustainable consumption a norm, contributing to over 2.1 billion tonnes of CO₂ emissions annually.Mindful shoppers face friction at every stage from verifying claims to navigating overwhelming thrift options leading many to default to convenient, impulsive, and unsustainable choices.Existing budgeting tools and system-level controls fail to address critical micro-decisions within online shopping flows that influence impulsive purchases and habit loops, leaving a gap in promoting environmentally and financially responsible shopping behaviors.
Main Research Question:
How can the design of an AI powered Extension interface assist in imparting mindful shopping habits in young adults during fashion purchase decisions through intervention design and impulse identification.
Persona:
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Theorization:
User Journey Map
User flow:
Technology:
Initial Sketches
The initial sketches began with mobile interface concepts, allowing me to explore the feasibility of key features such as onboarding flows, data visualizations, and AI-powered recommendations. This early stage informed the expansion of the system into a desktop extension, adapting and scaling interactions.
App Design
Feature 1:
The initial sketches began with mobile interface concepts, allowing me to explore the feasibility of key features such as onboarding flows, data visualizations, and AI-powered recommendations. This early stage informed the expansion of the system into a desktop extension, adapting and scaling interactions.
Feature 2:
Pop-up’s are known to break regular user’s flow, these help user to redirect them back to the sustainable shopping patterns, whenever AI recognizes relapse in shopping behavior cues.
