In this proof of concept we experimented with AR and AI. We programmed an artificial intelligence (AI) to detect food and electronics products in a 3D space (our rather messy studio). We use a fairly basic augmented reality (AR) setup to allow the user to scan their space to detect objects based on a criteria. The AI detects objects in the context we set, then pattern matches objects from a database we built. In our test we attributed sustainability scoring to objects based on simple criteria like recyclability or carbon footprint (to point of purpose). In the next phase of development, we’re going to build or adapt an API to public product databases to give it more to play with and use more complex datasets.
Sustainability is an accumulation of actions that must accrue over time. There are some actions that have more impact than others, but really its needs to be a holistic approach to how we each live. Behaviour is the key to unlocking that change. Understanding what influences people in their actions empowers us to design better products and services. Setting context, communicating appropriate value relative to that context, and removing friction is a strong foundation for enabling adoption.
There are some really exciting products coming onto the market that help people make more sustainable choices (check out CoGo – it’s a highlight amongst them). There is so much opportunity to innovate in this space. Start-ups will make leaps, but I wonder if the really big opportunity is with the huge consumer companies, like banks or retailers. What if Amazon Prime primed its users to make more sustainable choices, ranking products by their sustainability creds? The big banks have so much customer insight here. If it was well framed they could provide the level of customer experience the digital banks are providing by helping people become more sustainable, saving them money and building trust along the way.