General notes: 1- Please make sure that you write the paper only about the FAST

General notes:
1- Please make sure that you write the paper only about the FAST FASHION INDUSTRY and NOT about the fashion industry in general.
2- you can include companies such as ZARA, ASOS, H&M, Fashion Nova, GAP, Debenhams, Guess, Forever21 and other companies. But please do not use the companies like Amazon or Walmart as they are not focusing on fashion products only. You can use Joly Chic and Shein.
3- Also please make sure that you ONLY use the most current journal articles that were published in reputable journals. And please do not use and/or refer to web pages or blogs.
3-This research paper should be based on the following problem statement, aims, and research questions, and feel free to SUGGEST adjustments to the research problem, aims, and research questions.
A) Problem statement:
Some fast-fashion companies have adopted fashion trends forecasting for their supply chain management and marketing strategies and the adoption has positively impacted their revenues and positioning in the marketplace, while other fast-fashion retailers have experienced a negative impact on their performance.
B) Research aims:
This paper will explore the application of fashion trend forecasting in supply chain management and marketing in the fast fashion industry. Also, this paper will discuss the reasons behind the variations in the impact of fashion trend forecasting in supply chain management and marketing in the fast fashion industry. Furthermore, this paper will investigate the impact and benefits of the Covid-19 situation in the fast fashion industry.
This paper should follow the following structure:
1- Introduction: the introduction should include the research gap, the study contribution, and the research method.
2- Background:
A) Fashion industry and Fast Fashion Industry: this section should include the following:
– An introduction to the fashion industry
– Fashion definition
– Traditional fashion structure and characteristics for both businesses and customers. For example, businesses were accustomed to producing mass production and pre-determined fashion designs,and customers were less sensitive to fashion designs.
– Different internal factors that influence the fashion industry including fashion shows and changes in customers’ requirements. For example, in recent years fashion industry have witnessed an increased number of fashion shows that have increased fashion awareness among customers, and customers these years require more than just cheap clothes as they require cheap clothes as well as fashionable clothes, and to have these clothes to be delivered to markets during fashion events.
– Different external factors that influence the fashion industry including TV, movie industry, smart devices, and social media. These external factors should briefly explain the impact of the external factors on the fashion industry.
– Fast fashion definition.
– Fast fashion structure and characteristics.
– Fast fashion perceptions. This section should include how researchers look to fast fashion from different perspectives as some of them look to fast fashion as a supply chain management method while others look to fast fashion as a marketing tool. this should be explained in two paragraphs max and the studies used for perceptions should be briefed in a table. the table should represent the authors’ names, year of publication, and the fast-fashion features that made the researchers look to it as a supply chain method or marketing tool.
B) Fashion trend forecasting application:
– Fashion trend forecasting definition.
– Different factors that influence fashion predictions accuracy (traditions, societal trends, phycological factors, and you can include other factors).
– Customer experience: This section should explain how fashion trend forecasting enhances customer experience.
C) Fashion trend forecasting application for the supply chain management. This section should explain how fashion trend forecasting application enhances supply chain management capability for fast-fashion retailers. The explanation should include the use of fashion predictions to shorten lead-time and change assortment frequently to provide fashion products to markets as quickly as possible to respond to demand and enhance customers experience.
– Examples of fast fashion companies that use fashion trend forecasting for supply chain management. Examples should include the machine learning techniques that were used by companies, data types that were used for the analysis, and a brief explanation of how the companies used fashion predictions for the supply chain management.
Covid-19 situation. This section should include the following:
– Fast fashion supply chain management BEFORE Covid-19. This section should explain how was the supply chain in fast fashion companies before the covid-19 situation.
– Fast fashion supply chain management AFTER Covid-19. This section should discuss how the supply chain management would be/have been AFTER the covid-19 situation and the role and importance of fashion trend forecasting in the supply chain management AFTER covid-19.
D) Fashion trend forecasting for marketing. This section should include the following:
– Ecommerce and fast fashion (Ecommerce definition, and brief explanation of the adoption of e-commerce by fast-fashion retailers).
– The use of fashion trend forecasting on e-commerce platforms to enhance online customer experience. This section should explain how fast fashion companies use fashion predictions through recommendation systems to merchandise and suggest products to enhance customer experience. Also, this section should explain how fast fashion companies use fashion predictions to enhance chatbots services in order to enhance customer experience.
– Examples of fast fashion companies that use fashion trend forecasting for marketing purposes include their online platforms (fast-fashion online stores). Examples should include the machine learning techniques that were used by companies, data types that were used for the analysis, and a brief explanation of how the companies used fashion predictions for marketing.
– A brief explanation of fast fashion online retailing before Covid-19. This section should discuss how was the fast-fashion online market before covid-19.
– A brief discussion of how is the fast-fashion online market going to be AFTER the covid-19?
– A brief discussion on how some fast fashion companies were unsuccessful of adopting fashion trends forecasting. This section may include companies that were unsuccessful and companies that omitted to adopt fashion forecasting. You u can include companies like GAP and Debenhams, and/or other fast fashion companies.
E) Discussion and recommendations regarding the entire paper.
F) Conclusion and future work
G) References
Please complete this order 10 pages without counting the references pages.