Logo do repositório
 
Publicação

A redefinition of iFood’s Coverage Health - Score including qualitative features

dc.contributor.advisorPinheiro, Flávio Luís Portas
dc.contributor.advisorPedote, Lucas
dc.contributor.authorBertens, Joris Anton
dc.date.accessioned2021-07-06T13:38:44Z
dc.date.available2024-06-21T00:31:03Z
dc.date.issued2021-06-21
dc.descriptionInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analyticspt_PT
dc.description.abstractOver the last years iFood’s coverage strategy focused on the expansion of their coverage to new areas and increasing the quantity of restaurants in existing areas. Both of these strategies have been effective as they resulted in a higher performance in orders per inhabitant for the areas that the strategy was applied to. When areas became covered well, the rate of the performance increase tended to slow down and a saturation point was about getting reached. Therefore, iFood needed a new strategy to keep the performance of well covered areas growing after saturation. The focus of this internship report was to find the new coverage strategy for iFood. As the quantity of restaurants was no longer the focus point, it was relevant to look into quality attributes that make up an area. An exploratory data analysis of coverage attributes was conducted to find these quality attributes. By doing this it was found that there were four attributes that show potential in increasing the performance of well covered areas. Each of these attributes were analyzed to come up with thresholds that would decide whether an area is well covered in regard to this attribute. The attributes and their individual thresholds were then used to develop a new model which uses the QS. The QS consists of the four attributes and their thresholds as well as an assigned weight to mark the importance of the individual attributes. Lastly, the new quality strategy was incorporated into the existing strategies for iFood to come up with a new version of the CHS.pt_PT
dc.identifier.tid202737632pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/120570
dc.language.isoengpt_PT
dc.subjectGrowth Strategy;pt_PT
dc.subjectSupervised learning;pt_PT
dc.subjectUnsupervised Learning;pt_PT
dc.subjectFeature Analysis;pt_PT
dc.titleA redefinition of iFood’s Coverage Health - Score including qualitative featurespt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.embargofct"(...) just defended his thesis and wants to request an embargo of three years of his thesis document. (...) document to stay private for three years before being uploaded to the public repository."pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Métodos Analíticos Avançadospt_PT

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
TAA0095.pdf
Tamanho:
2.32 MB
Formato:
Adobe Portable Document Format