September 5, 2019 |
Delicious Data is a start-up from Munich, Germany which developed a machine learning solution that provides operators of restaurants and canteens with accurate demand forecasts. It allows to effectively reduce food waste and save costs while spending less time on purchase planning.
The idea for their start-up was born when the founders met at university in Munich. During their studies, Jakob Breuninger and Valentin Belser often had to watch employees of the cafeteria in their university throw away leftover food. Experiencing this problem first-hand, got them thinking that there must be a technology-based solution and that’s when the two started working on the Delicious Data tool. Breuninger and Belser have developed a software that uses various factors to predict how many servings will be consumed on which day. Canteens can save costs, plan their staff better and throw away less food in the end.
The SaaS software from Delicious Data includes not only the historic sales data of the POS systems of its customers, but also complementing data such as special events that might be planned, planned vacation timings and even the weather forecast. After taking into consideration all these factors and calculating the outcome, the program then gives a forecast for the next five weeks. For example, for a specific cafeteria the start-up’s tool would tell them that on Thursdays they will be selling around 450 servings of tagliatelle al pomodoro. The canteen’s purchasing management system then directly converts this information and breaks it down into the ingredients needed for the specific demand in order to be able to calculate the purchasing needs more efficiently.
Breuninger studied robotics at the Technical University of Munich, Besler has a degree in aerospace engineering. They started their company two years ago and now have four employees, however they only raised external capital for the first time in mid-August this year in order to fuel further growth.
Currently, Breuninger and Belser do not want to talk about the turnover and how much they are charging their customers for the monthly license fee. According to company information, the software is currently in operation in more than 30 universities to help manage their canteens. According to the founders, the recent external investment will now be used to expand their product’s reach into hotels and restaurants. However, this market is determined by even more external factors and data inputs that the software must consider to come up with a reliable result, for example, here it also needs to take into consideration the competitive landscape of each venue.
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