Senge, JuliaMielinger, EllenWendt, Marie CatherineWeinrich, RamonaKrupitzer, Christian2024-04-082024-04-082024978-3-88579-738-82944-7682https://dl.gi.de/handle/20.500.12116/43911Private households are responsible for 59% of Germany’s 11 million tons of food waste. Consumers’ behavior significantly contributes to food waste, prompting our concept to develop a smartphone application aimed at diminishing uncertainties about food expiration and safety. Utilizing a Design Science approach, we developed a prototype for a smartphone app, integrating novel functionalities to minimize food waste at the consumer household level. We analyzed existing market applications and, as a result, introduced the Freshlimeter, a unique feature that estimates the real-time best-before date within our app using feedback from consumers. We also highlight the potential for innovative app features, such as integrating a chatbot with image recognition capabilities to enable freshness assessments, especially for unpackaged or opened food.enagri-food chainagri-food systemsdesign science approachfood wastemachine learningsmartphone applicationText/Conference Paper10.18420/giljt2024_041617-5468