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Showing result 1 - 5 of 30 essays matching the above criteria.

  1. 1. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Stina Backerholm; Malin Börjesjö; [2023]
    Keywords : Multi-Class Classification; Imbalanced Data; Machine Learning; Multi-Klass Klassifisering; Obalanserat Data; Maskininlärning;

    Abstract : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. READ MORE

  2. 2. Topic Modeling for Customer Insights : A Comparative Analysis of LDA and BERTopic in Categorizing Customer Calls

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Henrik Axelborn; John Berggren; [2023]
    Keywords : Customer Insights; Natural Language Processing; Topic Modeling; Latent Dirichlet Allocation; BERTopic;

    Abstract : Customer calls serve as a valuable source of feedback for financial service providers, potentially containing a wealth of unexplored insights into customer questions and concerns. However, these call data are typically unstructured and challenging to analyze effectively. READ MORE

  3. 3. Leveraging Service Recovery as a Marketing Tool

    University essay from Högskolan i Gävle/Avdelningen för ekonomi

    Author : Daniel Mubiru; Fiona Nyamache; [2023]
    Keywords : Service recovery; marketing tool; satisfaction; loyalty; brand reputation; brand image;

    Abstract : Aim: The study aims to explore the process of service recovery, its transformation into a marketing tool and identifying the outcomes of the tool to the organizations. Methodology: The research employed a qualitative methodology with an inductive approach. READ MORE

  4. 4. A Data-Driven Approach for Incident Handling in DevOps

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Lakshmi Ashritha Annadata; [2023]
    Keywords : Incident Handling; DevOps; Machine Learning; Prioritization; Topic Modeling;

    Abstract : Background: Maintaining system reliability and customer satisfaction in a DevOps environment requires effective incident management. In the modern day, due to increasing system complexity, several incidents occur daily. Incident prioritization and resolution are essential to manage these incidents and lessen their impact on business continuity. READ MORE

  5. 5. Permission-based Email Marketing for Customer Engagement : A qualitative study on how email marketing and relational factors influence consumers' non-purchase behaviors

    University essay from Umeå universitet/Företagsekonomi

    Author : Anna Mannelqvist; Isak Mårtensson; [2022]
    Keywords : Relationship Marketing; Online Relationship Marketing; Email Marketing; Permission-based Email Marketing; Personalized Email Marketing; Customer Engagement; Non-Purchase Behaviors;

    Abstract : Email marketing is not a new concept within marketing, it has been used by companies as a cost-effective way to incentives purchases for decades. However, during the past few years, there was a shift in the way email can be used. READ MORE