We live in a consumer society, where the main goal is to sell a product and make a profit while the effects on society and environment are either of secondary concern or simply go unnoticed. In order to get an edge over the competition, the manufacturers often design their products to look bigger in order for them to be more attractive to the consumer or use cheaper and ecologically problematic materials to save on costs. Although the modern consumer is striving for a more environmentally friendly lifestyle he still lacks enough information to do so efficently. With our concept solution we attempt to solve this problem by empowering the consumer and help him make informed decisions.
What it does
The CO2ncept mobile app empowers the consumer by providing him data, tools and guidance for a more environmentally friendly behaviour. It helps increase consumer trust in products by stripping down the packaging and revealing the actual content of a product.
How we built it
As a concept it was built on the ideas and knowledge we gained during the hackathon.
Challenges we ran into
As heckathon first timers, this was a unique challenge in of itself. Because the topic in question was so wide and the time short we had to abandon many potential ideas before they could even make it to the drawing board.
Accomplishments that we're proud of
Even in such a short time we believe we have managed to create a concept that could significantly contribute towards consumer empowerment. In addition the proposed ideas for future development could improve the recycling process for packaging.
What we learned
For a hackathon, brainstorming is neccessary, but needs to be well moderated and timed.
What's next for CO2ncept
For future development we had three major milestones in mind. First milestone would be a solution to gathering the data on air content in packaging. The data gathering would become part of the app and outsourced to the consumers. Consumers would have the option to take pictures of the product in original condition and of the product content, then submit them via the app. The process in the backend could use a form of machine intelligence to generate a 3D model of the original and opened product, combine it with dimensional data from attrify and estimate the total air content in the packaging. The second milestone would be inclusion of EPCIS data in order to improve the estimates of CO2 contributions of transportation of a packaging. The third milestone would be to use EPCIS data to help recycling centers improve their waste material influx estimations.
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