In this case study, the fashion retail industry its technological adaptability is analyzed in terms of which problems are going to be solved as well as how can startup help to solve the challenges the industry encounters. Through a newspaper article, the four major problems and potential solutions could be identified. A discussion about course-related content and the industry’s problems identified opportunities.
The theoretical framework of research about return rates as the identified major problem in the fashion industry analyzes by evaluating the technological product of startups and how it really benefits the fashion brands and retailers.
Table of Contents
1. THE ROLE OF TECH-STARTUPS IN THE FASHION RETAIL INDUSTRY
2. INTRODUCTION
2.1 The Fashion Retail Industry
2.2 Statement of the Problem
2.3 Potential Solutions
3. AN ECONOMICS OF INNOVATION-RELATED DISCUSSION
3.1 Clusters and Networks
3.2 Networks Effects
3.3 Organization for Innovation
3.4 Consumers
4. HOW SIZING-TECHNOLOGY CAN IMPROVE THE RETURN RATE
4.1 Informal Literature Assessment
4.2 Identified Issues
4.3 Theoretical Framework
4.3.1 Definition of Hypothesis
4.3.2 Study
4.3.3 Data Collection
4.3.4 Methodology
4.3.5 Evaluation
4.4 Desired Outcome
5. CONCLUSIONS & RECOMMENDATIONS
Research Objectives and Themes
This case study aims to examine the technological adaptability of the fashion retail industry, specifically focusing on how startups can provide solutions to prevailing industry challenges, with a primary emphasis on high product return rates.
- The role of tech-startups in resolving modern fashion retail inefficiencies.
- Application of economic innovation theories to fashion retail structures.
- Impact of sizing-technology on product return rates and gross profit.
- Network effects and consumer behavior in digital fashion environments.
- Strategic adoption of technology by brick-and-mortar and e-retailers.
Excerpt from the Book
HOW SIZING-TECHNOLOGY CAN IMPROVE THE RETURN RATE
Despite the problems that were analyzed above. The fashion retail industry, especially the e-retail, has one superior problem which mainly leads to an unprofitable e-commerce business. The high return rate suppresses the gross profit. The rates are between 25 % and 40 %, depending on the product, due to free shipping, free exchange, packaging, ordering multiple sizes, etc. (Dennis, S., 2017). Offering free services let the fashion companies keep up with the competition. Brands and retailers also have taken different initiatives to reduce the rate by offering free returns in store or introducing a minimum order size (Dennis, S., 2018). The brands and retailers have to reduce, a.o., the ordering of multiple sizes.
TrueFit a personalization platform for apparel and footwear helps consumers to identify clothing that fits and that likely to be liked. TrueFit’s technology maps the detailed style, fit, and technical attributes from clothing and detailed consumer preferences. Based on the collected data, the database matches clothing the customer has already purchased with clothing he or she is going to buy. The platform is used in the European Union and North America (O’Hear, S., 2018).
Metail provides a virtual fitting room that allows consumers to try on clothes. It considers their sizes and weights. It is currently only available for women clothing. It currently operates only in Asia. Metail’s technology digitizes garments by photographing each item and turning them into 3D models. For the actual analysis, the technology takes into account the type of fabric and the consumer’s body (Hodgson, C., 2017).
Summary of Chapters
THE ROLE OF TECH-STARTUPS IN THE FASHION RETAIL INDUSTRY: Provides a brief overview of the research scope and the technological shift in consumer-retailer relationships.
INTRODUCTION: Outlines the state of the fashion retail sector, identifying the decline of brick-and-mortar stores and the urgent need for digital integration.
AN ECONOMICS OF INNOVATION-RELATED DISCUSSION: Connects course-related economic theories to industry practices, discussing clusters, network effects, and organizational adaptability.
HOW SIZING-TECHNOLOGY CAN IMPROVE THE RETURN RATE: Analyzes the high cost of returns and evaluates technological platforms like TrueFit and Metail as potential solutions.
CONCLUSIONS & RECOMMENDATIONS: Synthesizes findings and advises retailers on adopting technology tailored to their specific business models and target demographics.
Keywords
Fashion Retail, Tech-Startups, E-commerce, Return Rates, Sizing-Technology, Innovation, Network Effects, Digital Strategy, Consumer Behavior, TrueFit, Metail, Anthropologie, Social Commerce, Augmented Reality.
Frequently Asked Questions
What is the core subject of this paper?
The paper examines how technology-focused startups help the fashion retail industry overcome operational challenges, such as low conversion rates and high product return rates.
What are the primary themes discussed in the work?
Key themes include the integration of new technologies, the economic impact of innovation, the influence of social media on consumer habits, and the effectiveness of sizing-technologies.
What is the main research objective?
The objective is to understand how tech-startups address industry inefficiencies and to evaluate specifically if sizing-tools can lower return rates for online fashion retailers.
Which scientific methodologies are employed?
The research uses a case study approach, combining an informal literature assessment, a theoretical economic framework, and a proposed experimental study involving consumer testing in a controlled laboratory setting.
What is covered in the main body of the text?
The body covers industry trends, economic principles (clusters, network effects), an analysis of specific startups like Fuse.it and Jumper.AI, and a deep dive into sizing-solutions.
Which keywords best characterize this research?
The most relevant keywords include Fashion Retail, Tech-Startups, E-commerce, Return Rates, and Innovation.
How do 'direct' and 'indirect' network effects influence fashion retail?
Direct effects refer to the value increase as more users join a platform (e.g., Fuse.it), while indirect effects occur when startups gather shopping data that helps retailers improve their product assortments and website usability.
Why does the author focus specifically on 'Anthropologie' for the sizing-technology study?
Anthropologie was selected because it offers a wide range of women's clothing, including petite, normal, and plus sizes, and features a variety of fabric types, making it ideal for testing virtual fitting technology.
What is the significance of the 'Veblen Consumer' in this context?
The Veblen Consumer is highly active in consumption and heavily influenced by social peer groups, making them a primary target for tech-startups that leverage social interaction to drive sales.
What is the author's final recommendation to fashion retailers?
The author recommends that retailers implement technology strategically based on their specific business models, noting that while startups provide flexible solutions, there is no one-size-fits-all approach for the entire industry.
- Arbeit zitieren
- Friederike Berg (Autor:in), 2019, The Role of Tech-Startups in the Fashion Retail Industry, München, GRIN Verlag, https://www.hausarbeiten.de/document/505688
