APPETITE

AI-driven collaborative supply and demand matching platform for food waste reduction in the perishable food supply chain

This project is supported by the Österreichische Förderagentur für wirtschaftsnahe Forschung, Entwicklung und Innovation.

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Trashed Vegetables Luxemburg
Trashed vegetables in Luxemburg from Wikimedia Commons

Food waste is one of the greatest challenges of our time.

Worldwide, 1.3 billion tons of edible food is wasted in retail and by consumers per year. About 20% of the waste is generated during the distribution and retail step in the chain from the argricultural producers to the customers. This can have devastating economical and ecological effects for the society. It is therefore necessary to reduce the food waste. The goal of the APPETITE project is to explore measures for the prevention of food waste through the use of integrated data-based technologies.

This project is a collaborative effort between TU Wien, Fraunhofer, Invenium, and IT Power Services as well as our industrial partners Spar, Metro, and Kastner.

APPETITE Logo
APPETITE Logo

The goal of the appetite project is to reduce food waste by 10% by the means of prevention using data-driven forecasting technologies.

Our part (as TU Wien) in the project is the use of advanced forecasting technologies to help with forecasting the demand and sales of perishable products. The results of the forecasts can then be used to optimize the ordering and logistical processes such that less overage of perishable products exists in the stores and retailers and less food waste is generated.

To achieve this, we use data-driven technologies using data provided by our project partners Spar, Metro, and Kastner (see Partners section) who can provide us with real-world data from their stores.

Our forecasts are refined by additional data provided by our other project partners. The Invenium Data Insights GmbH provides us with mobile location data based on Austria's cellular network. Using these data, we hope to be able to more precisely forecast the occupancy of the stores especially depending on seasons as well as events which influence traffic in the area and subsequently the number of potential customers for each store. Weather data is also considered and provided by IT Power Services GmbH (IT-PS). The weather has an impact on both the number of customers in the store as well which products are bought in the stores.

Team

Portrait Nysret Musliu
Nysret Musliu

Nysret Musliu is the project lead of the APPETITE project at TU Wien. He is also an Associate Professor at the TU Wien and the head of the Christian Doppler Laboratory (CDLAB) Artis. More information on Nysret Musliu is available at https://informatics.tuwien.ac.at/people/nysret-musliu

© Nadja Meister

Portrait Lukas Grasmann
Lukas Grasmann

Lukas Grasmann is the main project assisstant working on the APPETITE project for the TU Wien. He is a doctoral student under Nysret Musliu. More information on Nysret Musliu is available at https://informatics.tuwien.ac.at/people/lukas-grasmann

© privat

Partners

Fraunhofer Austria Logo

Fraunhofer Austria Research Gesellschaft mit beschränkter Haftung

Project Coordinator, Scientific Partner

https://www.fraunhofer.at/

TU Wien Logo

Technische Universität Wien

Scientific Partner

https://tuwien.ac.at
WU Wien Logo

Wirtschaftsuniversität Wien

Scientific Partner

https://www.wu.ac.at/

IT-PS Logo

IT-Power Services GmBH

Scientific Partner

https://www.it-ps.at/
Invenium Logo

Invenium Data Insights GmbH

Scientific Partner

https://invenium.io/

Spar Logo

SPAR Österreichische Warenhandels-Aktiengesellschaft

Industrial Project Partner

https://www.spar.at/
Metro Logo

METRO Cash & Carry Österreich GmbH

Industrial Project Partner

https://www.metro.at/
Kastner Logo

Kastner Großhandelsgesellschaft m.b.H.

Industrial Project Partner

https://www.kastner.at/