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Thriving in the digital dining era: a data driven strategy for optimizing Uber Eats menus

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Resumo:How to stay relevant in the online food delivery services industry? It is within this dilemma that this thesis emerges. More precisely, how can a restaurant manager enhance a menu to better serve consumer needs? The core objective is integrating a data-driven and consumer-centric approach into a calculation method developed by Pleez, a food-tech start up. This method evaluates a client's menu against two competitors, analyzing visual and organizational attributes. Based on the comparison, the goal is to empower clients to improve their menus. Consequently, the thesis also evaluates the effectiveness of this initiative in prompting a "call-to-action" among Pleez clients.
Autores principais:Melo, Gonçalo Alves de
Assunto:Customer-centricity Regression analysis Data-driven business decisions Competition effects
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

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