Projektbeschreibung
Verringerung der Lebensmittelverschwendung
Das EU-finanzierte Projekt Prognolite zielt darauf ab, Lebensmittelverschwendung im Restaurantsektor mithilfe künstlicher Intelligenz zu bekämpfen. Jährlich werden rund 10,5 Millionen Tonnen essbare Lebensmittel von Restaurants in der Europäischen Union verschwendet, hauptsächlich aufgrund der Schwierigkeit, die Nachfrage nach Lebensmitteln abzuschätzen. Das Schweizer Unternehmen Prognolite GmbH hat, um dem entgegenzuwirken, eine Software entwickelt, welche die Nachfrage nach Lebensmitteln genau vorhersagt und eine Reduzierung der Lebensmittelverschwendung um bis zu 50 % verspricht. Die Software hat bereits die Aufmerksamkeit von sechs renommierten Schweizer und deutschen Restaurantketten auf sich gezogen, welche die Software in zwölf ihrer Restaurants getestet haben. Dabei wurden die Lebensmittelkosten um bis zu 6 % und die Personalkosten um 5 bis 15 % gesenkt.
Ziel
Prognolite GmbH is a Swiss SME that is using artificial intelligence to combat the €20 billion food waste crisis within the restaurant sector. Through Prognolite software, restaurants can reduce food waste by up to 50% by accurately predicting food demand. The software has already caught the eye of six renowned Swiss and German multi-unit restaurants (including an international chain), testing it in 12 of their restaurants, reporting reduced food costs by up to 6%, and staff costs by 5-15%.
10.5 million tonnes of edible food is wasted each year by EU restaurants, primarily due to the difficulty of estimating the exact food demand. This complexity of accurately forecasting sales is causing restaurants to (i) dispose to waste over 10% of the purchased food and (ii) reduce efficiency of staff planning, resulting in poor customer service and unnecessary high staff costs. Traditional methods of demand forecasting of manually analysing historical data are inaccurate, highly dependent on staff experience and time consuming. The few digital solutions that exist fail to, within one software, optimise the two cost centres (food and wages) that gobble 80% of restaurateurs’ costs and often unaffordable to many. Moreover, most of these solutions are designed by Point-of-Sale (POS) systems providers and are only compatible with their own POS who cannot scale in an EU and global market where there are numerous POS systems.
As such, we have a unique advantage within the burgeoning €2.64tn global restaurant/food service market that has >2.5mn restaurants (EU & US only). With a product that enables restaurants to save, within a month, up to 8x what they would have paid us and widest POS compatibility (>80% of EU & US), we seek to be the global leader in demand forecasting solutions for the restaurant sector. We have estimated that we will need an additional investment of €1.3 million to achieve that and bring our product to the market.
Wissenschaftliches Gebiet
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEInst-2018-2020-1
Finanzierungsplan
SME-1 - SME instrument phase 1Koordinator
8610 USTER
Schweiz
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).