Sunday, June 16, 2019
Aritzia Statistics Project Example | Topics and Well Written Essays - 1000 words
Aritzia - Statistics Project ExampleSpring and autumn prove to a host the countrys best wear. However, the geography of England means that the weather can change in short distances (Woodlands, 2014). The surrounding sea gives England a varied climate however generally there are warm summers but they are cooler than those on the continent. The winters are also milder and do non go below 0 degree centigrade frequently. The summer temperature is around 32 degrees and is ofttimes damp and subject to frequent changes. The warmest month in England is July and around the coastal area, February is normally the coldest month (Woodlands, 2014).These conditions can greatly affect the product range which should be present at Aritzia. This means that the range of jackets and sweaters must not be too heavy duty. Really warm fur or fleece run along jackets and sweaters would not be suitable for the generally mild winters. Warm woolen ranges should suffice for the winters in the United Kingdom.T heir category of blouses, dresses, jeans, t-shirts and jumpsuits etc. should be extensive and not made of cloth that is too warm. Seeing the damp and summery conditions, their clothing line should include clothes made of material that breathes and is suitable for the mild warming and damn summers.To make abundant use of the brand equity of Aritzia and to successfully compete with the competition, it will be necessary to set up a local anaesthetic subsidiary in the United Kingdom. Aritzia is a Canadian womens fashion boutique that was started in Vancouver in 1984. It has stores in North America including Seattle, San Francisco, Toronto, Chicago and sensitive York (Aritzia, 2014). It is a brand endorsed by many celebrities including Megan Fox, Emma Stone and Eva Mendes (Fashion Base, 2014). Hence in order to make full use of this brand equity, it is necessary to have full brand presence in the country and not rely on joint ventures of sales agents which might
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