The demand for home food delivery services has spread since 2010, but only as a result of the pandemic wave due to COVID-19 and the related restrictive measures of lockdown and distancing imposed by public authorities, has there been a real behavioural change in consumption patterns. The rapid digital transformation that has affected, among others, the food delivery sector has brought out the need to analyse the business models present on the market and identify the main Key Performance Indicators that influence the choice of adoption by the user. Therefore, after a careful review of the available literature, this paper aims to develop an algorithmic simulation model that contemplates the minimization of delivery times and costs. The optimization of the food delivery service, in addition to ensuring higher profit margins for the service company, guarantees a better customer experience for the user.

Optimization based on Innovative Models for Online Food Delivery and Supply Chain Management

Bruzzone A. G.;Ferraris G. M.;
2024-01-01

Abstract

The demand for home food delivery services has spread since 2010, but only as a result of the pandemic wave due to COVID-19 and the related restrictive measures of lockdown and distancing imposed by public authorities, has there been a real behavioural change in consumption patterns. The rapid digital transformation that has affected, among others, the food delivery sector has brought out the need to analyse the business models present on the market and identify the main Key Performance Indicators that influence the choice of adoption by the user. Therefore, after a careful review of the available literature, this paper aims to develop an algorithmic simulation model that contemplates the minimization of delivery times and costs. The optimization of the food delivery service, in addition to ensuring higher profit margins for the service company, guarantees a better customer experience for the user.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1231236
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