How Delicious Data Helps Porsche to Decrease Planning Efforts and Reduce Food Waste in Staff Restaurants with AI

This session will give insights into AI, Sustainability and Food Waste

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Especially relevant for Human Resources Managers, company catering managers, sustainability managers, and controllers

Production forecasts are part of everyday life in industrial operations. Until now, however, colleagues in the kitchens of the same companies have not been supported by state-of-the-art technology in the same way as the processing area. Machine learning forecasts are changing that, supporting kitchen teams and creating process reliability. Porsche was able to pilot Delicious Data's forecasting solution last year and is now rolling it out to all sites.

Sustainability is one of the main topics of the current time. Food waste is a major driver of change in this regard. The food we waste worldwide contributes to about 8% of total anthropogenic greenhouse gas emissions. In the ranking of countries, food waste would be the third-largest emitter of greenhouse gases worldwide, just behind the USA and China. German food services account for 1.7 million tons or 14% of food waste nationwide. The intelligent use of technology can help reduce this and save money at once.

What learnings or insights will the participants take away from the session? This session will help provide an overview of how more targeted planning can have an impact on costs, merchandise usage, and sustainability KPIs for staff restaurants. Forecasts with a deep learning algorithm of expected guest traffic and menu distribution can have a direct impact on the merchandise used, resulting in savings or quality improvements. With increasing pressure from guests and staff, as well as the cost of carbon offsetting and regulatory targets, the kitchen can help achieve business goals.

We will discuss following questions:

  • How can we optimize our canteen planning process, reduce cost and the environmental impact of wasted food with AI?

Project Teaser

This session is associated with a pilot project that has been developed throughout our most recent STARTUP AUTOBAHN program. The comprehensive overview of this collaboration can be found below.

Using Artificial Intelligence to Increase Planning Accuracy and Reduce Food Waste in Canteens

In the EU, around 88 million tonnes of food are wasted every year, accounting for 8% of global greenhouse gas emissions. Company canteens play a significant role in this, as food is wasted during processing and preparation steps, in the form of leftovers on plate returns or due to miscalculation. One of the main drivers of food waste in canteens is planning uncertainty. To counteract food waste, Porsche teamed up with Munich- based AI startup Delicious Data.

Project Teasers can be accessed and downloaded on the respective program startup profiles with which our STARTUP AUTOBAHN partners teamed up with.
For this POC the following startup has been involved:

Delicious Data

Enterprise 2.0

Delicious Data

Enterprise 2.0

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Speakers of this session


In case of questions please do not hesitate to get in touch with us.

Alina Biermann

Ventures Associate

Plug and Play


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