dc.contributor | Delicado Useros, Pedro Francisco |
dc.contributor | Gjiorjiev, Riste |
dc.contributor.author | Suárez Otero, Alejandro |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.date.accessioned | 2019-07-01T10:20:50Z |
dc.date.issued | 2019-06 |
dc.identifier.uri | http://hdl.handle.net/2117/165334 |
dc.description.abstract | Cannibalization is defined as the negative effect that one product's sales have on the sales of other products offered by the same rm. In essence, these effects could result with high stock levels on the affected product, leading to lower margins and thus, loss of prot. The situation could also lead to overestimate the positive effect of some products and produce an adoption of suboptimal portfolio management strategies. In short, when ignoring these phenomenons managers are not reaching the best potential solution for their pricing strategies. In order to avoid such situation we will try to build a model that captures the cannibalization effect between and within company product categories and then apply it to forecast product sales. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.publisher | Universitat de Barcelona |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.lcsh | Mathematical Statistics -- Applications |
dc.subject.other | Analytics |
dc.subject.other | Cannibalization |
dc.subject.other | Forecasting |
dc.subject.other | Retailing |
dc.subject.other | Promotions |
dc.subject.other | Time-series models |
dc.title | Capturing the cannibalization effect |
dc.type | Master thesis |
dc.subject.lemac | Estadística matemàtica--Aplicacions |
dc.subject.ams | Classificació AMS::62 Statistics::62P Applications |
dc.identifier.slug | FME-1730 |
dc.rights.access | Restricted access - author's decision |
dc.date.lift | 10000-01-01 |
dc.date.updated | 2019-06-28T05:28:38Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Universitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística |
dc.audience.degree | MÀSTER UNIVERSITARI EN ESTADÍSTICA I INVESTIGACIÓ OPERATIVA (Pla 2013) |
dc.contributor.covenantee | Accenture |