Essays about: "customer s Classification"

Showing result 1 - 5 of 49 essays containing the words customer s Classification.

1. 1. Effectivisation of keywords extraction process : A supervised binary classification approach of scraped words from company websites

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

   Author : Josef Andersson; Max Fremling; [2023]
   Keywords : Machine learning; keyword classification; unbalanced data; word embedding;

   Abstract : In today’s digital era, establishing an online presence and maintaining a well-structured website is vitalfor companies to remain competitive in their respective markets. A crucial aspect of online success liesin strategically selecting the right words to optimize customer engagement and search engine visibility. READ MORE

3. 2. 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

4. 3. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Dani Kebede; Naod Tesfai; [2023]
   Keywords : Sentiment analysis; Artificial intelligence; NLP; RoBERTa;

   Abstract : In today’s digital era, text data plays a ubiquitous role across various domains. This bachelor thesis focuses on the field of sentiment analysis, specifically addressing the task of classifying text into positive, negative, or neutral sentiments with the help of an AI tool. READ MORE

5. 4. Predicting Short-term Absences of a Railway Crew using Historical Data

   University essay from KTH/Matematisk statistik

   Author : Agnes Björnfot; Sandra Fjelkestam; [2023]
   Keywords : statistics; machine learning; absence prediction; random forest; XGBoost; quantile regression; statistik; maskininlärning; frånvaroprognoser; random forest; XGBoost; kvantilregression;

   Abstract : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. READ MORE

6. 5. Inventory management: A high-level analysis of selected process elements, and factors impacting plan performance - A case study at Alfa Laval

   University essay from Lunds universitet/Teknisk logistik

   Author : Danielle Schiro; Lucas Librelotto Rubin; [2023]
   Keywords : Inventory Management; Make-to-Order; Forecasting; Collaboration; Strategic Alignment; KPIs; Organizational Structures; Alfa Laval; Technology and Engineering;

   Abstract : Purpose: The purpose of this thesis is to increase the effectiveness of the case company, Alfa Laval’s, inventory management by finding challenges, opportunities, and gaps within its current inventory management practices. Background: An essential part of an organization’s planning and control is inventory management, which helps manage supply and demand uncertainty as well as mismatches in upstream and downstream variables, as small changes in inventory management practices can greatly impact an organization's efficiency and responsiveness. READ MORE