Essays about: "Fashion e-commerce"

Showing result 1 - 5 of 89 essays containing the words Fashion e-commerce.

  1. 1. "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

  3. 2. 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

  4. 3. Context-Aware Fashion Recommender Systems to Provide Intent-based Recommendations to Customers

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Edda Waciira; Marah Thomas; [2023]
    Keywords : e-commerce; Fashion Recommendation Systems; Machine Learning; Recommendation Systems;

    Abstract : In recent years, Recommendation Systems have revolutionized how social media and ecommerce are used. Fashion Recommendation Systems have made it easier for customers to do shopping, by recommending items to them based on various factors, such as their previous orders, and their similarities to other users. READ MORE

  5. 4. Pick and click: The use of buy-now-pay-later in the scope of bracketing purchase behaviour

    University essay from Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

    Author : Axel Hjerpe; Daniel Palmgren; [2023]
    Keywords : Buy-now-pay-later; Bracketing purchase behaviour; Consumer behaviour;

    Abstract : Enabled by technological advancements, e-commerce has taken over the retail space expeditiously the past decade. Without the typical brick-and-mortar store, retail brands face novel shopping behaviours that are tricky to comprehend. READ MORE

  6. 5. How Visual Framing and Specificity Framing Influence Buying Decisionsin Fashion E-commerce

    University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

    Author : Kimia Emami; Andrea Makarová; [2023]
    Keywords : Visual Framing; Framing of Specificity of Terms; E-commerce; Sustainability; Fashion; User Experience Design;

    Abstract :  Companies face several challenges when it comes to promoting green consumption and designing effective communication strategies for sustainable products.The framing effect, which refers to the presentation of messages, can significantly influence customer perceptions and purchasing intentions. READ MORE