Amazon in Fashion
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Can amazon become a keep player in the fashion/clothing industry.
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Amazon in Fashion
- 1. -z in Fashion Can Amazon become a competitor in the Clothing Industry?
- 2. Amazon is the BEST “An integrated strategy machine” B rick and Mortar E -commerce S tyleNetwork and QVC T hrift stores , Boutiques , Specialty stores
- 3. Brick and Mortars are Hurting - List Pricing Algorithm - The Great Migration of Brands -Amazon Prime Now -Gross Merchandise Volume in 2015 from 16B to 52B in 2020.
- 4. E-commerce of Fashion -Acquisitions of fashion sites : ● Shopbop.com ● EastDane.com ● MYHABIT.com -7 New In-House Brands -Hired Caroline Palmer, and sponsored New York's first menswear fashion week in July 2015. -
- 5. -40.5% of its overall business during Q3 2015 online -Celebrity Power -43% of its overall business online during Q3 2015 - 10% YoY increase -$13.6 billion, or 15% of total AMZN revenues last year. -Recommended items
- 6. Boutiques and Specialty Stores -Fabric.com -Clicks to Bricks -Moda Operandi
- 7. SWOT Strength - Painless shopping experience , Quick Delivery Weakness - Relatively unknown brands Opportunities - 54 million Prime users Threats - Online Sales Tax
- 8. “In order to be a $200 billion company, we’ve got to learn how to sell clothes and food,” CEO and founder Jeff Bezos, The Everything Store.
Notes de l'éditeur
- 21 Data Science Systems Taxonomy creation to categorize products, produce and maintain great catalogs, and help with user searches: this is a gigantic clustering problem, that can be done efficiently using tagging and indexing algorithms
- 9.2 times on average per item, while Macy’s changed prices 2.1 times and Kohl’s did so 1.5 times. Nicole Miller, Calvin Klein, Kate Spade,Lacoste and Levi Strauss. 1 hour of your time is worth more than 7.99 you can just order stuff .
- flash-sale site Wholly owned subsidaires that use Prime Pricing and profit optimization (per-product price elasticity studies needed; may require products to be aggregated in categories, to create buckets that yield statistical significance) -More margin with greater volume related to shipping and material cost savings
- Everything on the show can be bought.
- 300-400 stores ( 1st was in Seattle ) Inventory forecasting: how many copies of each product should they keep at anytime in any warehouse, to optimize a few metrics (profit, product decay if perishable, delivery time etc.) Moda Operandi , each customer is greeted with a sales person with a tablet that can then be scanned and added to the persons cart. No more taking out your credit card. Instead everything is scanend and automatically payed for through your amazon account. Amazon Payments.