Essays about: "thesis in e-commerce commerce"

Showing result 1 - 5 of 395 essays containing the words thesis in e-commerce commerce.

  1. 1. Inside the Future of Shopping Malls - Logistics Approaches for Enhancing the Collection Efficiency of Online Retail Orders from Shopping Malls by Delivery Agents

    University essay from Göteborgs universitet/Graduate School

    Author : Julia Krajka; Kaisa Nordlund; [2023-07-03]
    Keywords : Urban Logistics; Retail; Shopping Malls; Gig Economy; Last Mile Delivery; E-commerce; Automation; Micro-hubs; Parcel Lockers; Consumption Behavior; Stakeholder Management;

    Abstract : Background: The rise of e-commerce has revolutionized the retail industry, with consumers now able to purchase goods online and receive their orders promptly at their doorstep. The COVID-19 pandemic has accelerated this trend, leading to traditional retailers reimagining their strategies and embracing omnichannel approaches to meet the growing demand for fast deliveries. READ MORE

  3. 2. An inventory optimization toolbox in SMEs

    University essay from Göteborgs universitet/Graduate School

    Author : Jakob Olofsson; Johan Persson; [2023-07-03]
    Keywords : ;

    Abstract : Introduction - The globalization of e-commerce and the emergence of supply chains have allowed SMEs to join in shaping the global economy. Although SMEs contribute a lot to global development, they usually experience a number of challenges in their daily operations affecting their profitability and performance. READ MORE

  4. 3. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

    University essay from KTH/Matematik (Avd.)

    Author : Giorgio Sacchi; [2023]
    Keywords : Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

    Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE

  5. 4. "Cracking the GenZ Code: Unraveling the Needs, Pain Points, and Desires for an Improved Omnichannel Fashion Experience" : A qualitative study by understanding the consumer decision-making process

    University essay from Linnéuniversitetet/Institutionen för management (MAN)

    Author : Ebba Uhlin; Moa Lundberg; [2023]
    Keywords : Omnichannel; E-commerce; Physical Stores; Pain Points; Touchpoints; Customer Journey; Consumer Decision-Making Process; Retail Technologies; Generation Z;

    Abstract : In recent years there has been a remarkable distribution of the omnichannel environment, which has emerged as a significant factor in the fashion industry. Today's society is characterized by customers who possess extensive knowledge and easy access to information online, with the added convenience of constantly available e-commerce. READ MORE

  6. 5. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE