Essays about: "Kundbeteende"

Showing result 1 - 5 of 17 essays containing the word Kundbeteende.

  1. 1. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

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

    Author : Amanda Rudälv; [2023]
    Keywords : Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

    Abstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE

  3. 2. Demand for Transportationin Circular Businesses : A System Dynamic approach

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Vilhelm Erlandsson; Erik Åkerblom; [2021]
    Keywords : Circular economy; Circular business; Sustainability; Business model; Productservice system; Transportation; System dynamics; Supply chain; Cirkulär ekonomi; Hållbarhet; Transporter; System Dynamics; Affärsmodeller; Product-Service System; Värdekedjor;

    Abstract : One of the largest challenges’ mankind is currently facing has been recognized to be climate change. Moving towards climate neutrality, decoupling economic growth from resource use, and at the same time ensuring long-term competitiveness becomes highly important. READ MORE

  4. 3. Predicting customer purchase behavior within Telecom : How Artificial Intelligence can be collaborated into marketing efforts

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : John Forslund; Jesper Fahlén; [2020]
    Keywords : Recurrent Neural Networks; RNN; Long Short-Term Memory; LSTM; Clickstream Data; Telecom; Consumer Behavior; Customer Journey; Purchase Prediction.; Recurrent Neural Networks; RNN; Long Short-Term Memory; LSTM; Clickstream Data; Telekom; Kundbeteende; Köpresa; Köpprediktering;

    Abstract : This study aims to investigate the implementation of an AI model that predicts customer purchases, in the telecom industry. The thesis also outlines how such an AI model can assist decision-making in marketing strategies. READ MORE

  5. 4. Predicting Purchase of Airline Seating Using Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sebastian El-Hage; [2020]
    Keywords : Deep learning; Machine learning; Binary classification; Neural network; Support vector machine; Djupinlärning; Maskininlärning; Binär klassificering; Neurala nätverk; Stödvektormaskin;

    Abstract : With the continuing surge in digitalization within the travel industry and the increased demand of personalized services, understanding customer behaviour is becoming a requirement to survive for travel agencies. The number of cases that addresses this problem are increasing and machine learning is expected to be the enabling technique. READ MORE

  6. 5. CAE Sun Simulation - Thermo Structural Coupling

    University essay from KTH/Numerisk analys, NA

    Author : Kristin Staffas; [2020]
    Keywords : Applied mathematics; Finite Difference Method; Sun simulation; Virtual customer behaviour; Tillämpad matte; Finita Differensmetoden; Solsimulering; Virtuellt kundbeteende;

    Abstract : Deformation of materials due to heat exposure can be a challenge in vehicle design. Sun exposure and heat build up in the vehicle cabin contribute to accelerated aging of the materials used. To understand how this process affects the durability, numerical simulation is an important tool. READ MORE