| | | | [STRATEGY OF ZARA & BURBERRY] | | TABLE OF CONTENTS INTRODUCTION……………………………………………………………….1 STRATEGIES……………………………………………………………………..1 CONCLUSION: COMPARISON ZARA VS BURBERRY…………….4 REFERENCES.……………………………………………………………………5 Introduction ABOUT ZARA… Zara started operations in Spain in 1975‚ and now operates in 74 countries worldwide. Zara is one of the largest international fashion companies and it is owned by INDITEX‚ one of the world’s largest distribution
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Zara : IT for Fast Fashion Zara is a leading brand in the fashion retail industry. It is a vertically integrated retailer‚ a pioneer of the Just-In-Time Inventory system. It becomes important to define the critical success factors for this industry in the analysis presented through the following three questions: 1. How can you differentiate Zara’s use of IT? Technology investment should be targeted at the points in the value chain where the impact is most significant. If we look at the value
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[pic] CONTENTS 1. Introduction 3 2. Zara as Company 4-5 3. Zara’s Model of Operation 6 4. Company’s Structure
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moment. The case later moves on to explain how Zara came to be what it is‚ and how they carried out their business model from its beginnings. The company Zara was founded in 1975 by its current major stockholder‚ Armancio Ortega‚ and was aimed at women‚ men‚ and children. It is affiliated to other clothing brands including Massimo Dutti‚ Pull and Bear‚ Bershka‚ Stradivarius‚ and Oysho‚ all part of the Infitex corporation. From its starting roots‚ Zara has managed to set themselves apart from their
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EXTERNAL As for the B2C buying behaviour‚ many perspectives are included. Firstly‚ take a look at the cultural factors. Buyers of ZARA are influenced by culture‚ subculture and social factors. ZARA collects information about its customers via staff members‚ by different observations and also directly from the buyers. Since ZARA is a centralized brand it focuses on the global trends‚ though it has decided to move towards geocentric orientation and started to adopt local solutions‚ too. It is also
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1. Inventory decisions at L. L Bean use statistical processes on the frozen forecasts provided by the product managers. L. L Bean uses past forecast errors as a basis of measurement for future forecast errors. The decision for stock involves two processes. Firstly‚ the historical forecast errors are computed. This involves taking the ratio of actual demand to forecast demand. The frequency distribution of historical errors is then compiled across items‚ for new and never out items separately‚ to
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NATIONAL INSTITUTE OF FASHION TECHNOLOGY‚ JODHPUR Application of Category Management Principles in ZARA Submitted To:- Mr. Sanjay Kumar Submitted By:- Mr. Ritesh Malpani IInd Semnester MFM Introduction:- Category management is a retailing and purchasing concept in which the range of products purchased by a business organization or sold by a retailer is broken down into discrete groups of similar or related products; these groups are known as product categories (examples of
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industry? Is that different from what it takes a regional player to succeed? 2. What elements of Zara’s value chain help/hurt its ability to grow? Do you think Zara should grow 3. How would you advise Salgado to proceed on the issue of upgrading Zara’s POS systems? Intro - Inditex (Industria de Diseño Textil) of Spain‚ the owner of Zara and five other apparel retailing chains * Global Apparel Chain - Characterized as a prototypical example of a buyer-driven global chain‚ in which profits
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supply chain explaining how it supports the "fast fashion" model. Zara‚ Spanish clothing with retail chain throughout the world is probably the world’s fastest growing retailer with almost a thousand stores. Zara has it own unique business model that enabled Zara to be compete with its competitors‚ and it’s driven by Zara’s "fast fashion" with its vertically integrated supply chain. Vertically integrated supply chain allowed Zara to successfully build up a strong retail chain combine with the forces
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2011 • Zagreb‚ Croatia Electricity price forecasting – ARIMA model approach Tina Jakaša #1‚ Ivan Andročec #2‚ Petar Sprčić *3 Hrvatska elektroprivreda Ulica grada Vukovara 37‚ Zagreb‚ Croatia 2 # tina.jakasa@hep.hr ivan.androcec@hep.hr 1 * HEP Trade Ulica grada Vukovara 37‚ Zagreb‚ Croatia 2 petar.sprcic@hep.hr Abstract— Electricity price forecasting is becoming more important in everyday business of power utilities. Good forecasting models can increase effectiveness of producers
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