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Fashion Forecasting
Fashion Forecasting Overview Fashion forecasting is a global career that focuses on upcoming fashion trends. A fashion forecaster predicts the colours, patterns, fabrics, textures,materials, prints, graphics, beautyégrooming, accessories, footwear, street styles and many other styles that will be presented on different runway shows and in stores in upcoming seasons. The concept applies to not one but every single level of the fashion industry from smaller box stores like Urban Planet  to massive high end fashion companies like PRADA. The fashion forecast process includes basic steps of understanding the vision of the business and profile of target customers, collecting information about available merchandise, preparing information, determining trend, and choosing merchandise appropriate for the company and target customers. For example, fashion trend forecasting saw trends for 2022 consisting of oversize shirts, sweatshirts and pants to ballooned silhouettes and continuation of ...
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Demographics
Demography () is the statistical study of populations, especially human beings. Demographic analysis examines and measures the dimensions and dynamics of populations; it can cover whole societies or groups defined by criteria such as education, nationality, religion, and ethnicity. Educational institutions usually treat demography as a field of sociology, though there are a number of independent demography departments. These methods have primarily been developed to study human populations, but are extended to a variety of areas where researchers want to know how populations of social actors can change across time through processes of birth, death, and migration. In the context of human biological populations, demographic analysis uses administrative records to develop an independent estimate of the population. Demographic analysis estimates are often considered a reliable standard for judging the accuracy of the census information gathered at any time. In the labor fo ...
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Psychographics
Psychographics is a qualitative methodology used to describe wikt:trait, traits of humans on psychological attributes. Psychographics have been applied to the study of personality, values, opinions, Attitudes (psychology), attitudes, self-interest, interests, and Lifestyle (sociology), lifestyles. Two approaches to psychographics include analysis of consumers' activities, interests, and opinions (AIO variables), and values and lifestyles (VALS). Psychographics are applied to the study of cognitive attributes such as attitudes, interests, opinions, and belief, as well as the study of overt behavior (e.g., activities). Psychographic studies of individuals or communities can be valuable in the fields of marketing, Demographic profile, demographics, opinion research, prediction, and social studies, social research in general. Psychographic attributes can be contrasted with demographic variables (such as age and gender), behavioral variables (such as purchase data or usage rate), an ...
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Niche Market
A niche market is the subset of the market on which a specific product is focused. The market niche defines the product features aimed at satisfying specific market needs, as well as the price range, production quality and the demographics that it is intended to target. It is also a small market segment. Sometimes, a product or service can be entirely designed to satisfy a niche market. Not every product can be defined by its market niche. The niche market is highly specialized, and aiming to survive among the competition from numerous super companies. Even established companies create products for different niches; Hewlett-Packard has all-in-one machines for printing, scanning and faxing targeted for the home office niche, while at the same time having separate machines with one of these functions for big businesses. While you may have explicit moving items effectively at the top of the priority list. Although you can build your chances of achievement by beginning with a niche mar ...
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Fast Fashion
Fast fashion is a term used to describe the clothing industry's business model of replicating recent catwalk trends and High fashion, high-fashion designs, mass production, mass-producing them at a low cost, and bringing them to retail stores quickly, while demand is at its highest. The term ''fast fashion'' is also used generically to describe the products of the fast fashion business model. Fast fashion grew during the late 20th century as manufacturing of clothing became less expensive — the result of more efficient supply chains and new quick response manufacturing methods, and greater reliance on low-cost labor from the apparel manufacturing industries of South, Southeast, and East Asia, where women make up 85-90% of the garment workforce. Labor practices of fast fashion are often exploitative, and due to the gender concentration of the garment industry, women are more vulnerable. Retailers who employ the fast fashion strategy include Primark, H&M, Shein (company), Shein, ...
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Forever 21
Forever 21 is a multinational fast fashion retailer headquartered in Los Angeles, California, United States. Originally founded as the store Fashion 21 in Highland Park, Los Angeles in 1984,Forever 21History & Facts, n.d. Retrieved 27 April 2014. it is currently operated by Authentic Brands Group and Simon Property Group, with about 540 outlets. The company sells accessories, beauty products, home goods, and clothing for women, men and children, and is considered an epitome of the fast fashion industry due to its fashionable and trendy offerings with very low pricing.Earnest, Leslie"Forever 21 to Acquire Retailer Gadzooks" ''Los Angeles Times'', 18 February 2005. Retrieved 14 May 2014. The company has been involved in various controversies that include labor practice issues and copyright infringement accusations. History 1984–2017: founding and expansion Originally known as Fashion 21, the store was founded in Los Angeles on April 16, 1984, by Do Won Chang and Jin Sook C ...
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Vertical Integration
In microeconomics, management and international political economy, vertical integration is a term that describes the arrangement in which the supply chain of a company is integrated and owned by that company. Usually each member of the supply chain produces a different product or (market-specific) service, and the products combine to satisfy a common need. It contrasts with horizontal integration, wherein a company produces several items that are related to one another. Vertical integration has also described management styles that bring large portions of the supply chain not only under a common ownership but also into one corporation (as in the 1920s when the Ford River Rouge Complex began making much of its own steel rather than buying it from suppliers). Vertical integration and expansion is desired because it secures supplies needed by the firm to produce its product and the market needed to sell the product. Vertical integration and expansion can become undesirable whe ...
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Prescriptive
Linguistic prescription, or prescriptive grammar, is the establishment of rules defining preferred usage of language. These rules may address such linguistic aspects as spelling, pronunciation, vocabulary, syntax, and semantics. Sometimes informed by linguistic purism, such normative practices often suggest that some usages are incorrect, inconsistent, illogical, lack communicative effect, or are of low aesthetic value, even in cases where such usage is more common than the prescribed usage. They may also include judgments on socially proper and politically correct language use. Linguistic prescriptivism may aim to establish a standard language, teach what a particular society or sector of a society perceives as a correct or proper form, or advise on effective and stylistically felicitous communication. If usage preferences are conservative, prescription might appear resistant to language change; if radical, it may produce neologisms. Prescriptive approaches to language are oft ...
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Predictive Analytics
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions. The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detecti ...
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Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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Demographics
Demography () is the statistical study of populations, especially human beings. Demographic analysis examines and measures the dimensions and dynamics of populations; it can cover whole societies or groups defined by criteria such as education, nationality, religion, and ethnicity. Educational institutions usually treat demography as a field of sociology, though there are a number of independent demography departments. These methods have primarily been developed to study human populations, but are extended to a variety of areas where researchers want to know how populations of social actors can change across time through processes of birth, death, and migration. In the context of human biological populations, demographic analysis uses administrative records to develop an independent estimate of the population. Demographic analysis estimates are often considered a reliable standard for judging the accuracy of the census information gathered at any time. In the labor fo ...
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Psychographics
Psychographics is a qualitative methodology used to describe wikt:trait, traits of humans on psychological attributes. Psychographics have been applied to the study of personality, values, opinions, Attitudes (psychology), attitudes, self-interest, interests, and Lifestyle (sociology), lifestyles. Two approaches to psychographics include analysis of consumers' activities, interests, and opinions (AIO variables), and values and lifestyles (VALS). Psychographics are applied to the study of cognitive attributes such as attitudes, interests, opinions, and belief, as well as the study of overt behavior (e.g., activities). Psychographic studies of individuals or communities can be valuable in the fields of marketing, Demographic profile, demographics, opinion research, prediction, and social studies, social research in general. Psychographic attributes can be contrasted with demographic variables (such as age and gender), behavioral variables (such as purchase data or usage rate), an ...
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