  The production of goods we buy on a daily basis accounts for a large portion
of greenhouse gas emissions. Although consumers have the power to influence
industries' behavior through their demand, making sustainable purchases is
challenging. Current ICT systems supporting sustainable shopping decisions are
not established in consumers' daily lifes. Shopping decisions are made on a
complex set of criteria, thus classical persuasive approaches, like
recommender-systems, might not be suitable. This work compiles the state of
research on ICT supporting sustainable consumption, outlines unsolved
challenges, and finally presents a novel concept: a system based on
self-reflection instead of classical persuasive approaches, like
recommender-systems. Self-reflection provokes revising individual behaviour and
decisions, instead of presenting instructions. Combined with additional
information on e.g., decision impact, people could learn how to make more
sustainable decisions independently. We envision the deployment of such a
system, fostering a change towards more sustainable industries to combat
climate change.

Human-Computer Interaction