Big data in the fashion industry is changing the way that designers are creating and marketing their clothing. The fashion industry appeals to everyone in the world on one level or another, but each item of clothing sells to a different sort of customer. Big data derived from places like the Hadoop BI provide more than enough information for designers to create lines of products that will sell. Fashion designers who use big data will come to startling conclusions about their designs.
#1: What Are The Favored Colors For Your Line?
A fashion company must understand the trends in the fashion world at-large, but a fashion house must understand the colors that are favored by its own customers. Big data tells you which colors are most popular among your customers, and you may change your designs to meet the needs of the customer.
Big data tells you the range of colors that were purchased, and you may use your data to choose a range of colors that are popular. Big data is very simple to use when you are comparing colors that are sold by your business, and a fashion designer can guide its production without losing track of what its customers want to see.
#2: Men's Or Women's Clothing?
Choosing between men's and women's clothing to sell is a key point for all designers. An online sunglasses retailer must choose between carrying a dearth of men's or women's sunglasses. The target demographic for every designer is different, and the designer must understand who is more likely to make a purchase when their business.
Big data explains when customers make their purchases, how large their purchases are and how many items are sold. You may use this data to decide which lines are most necessary for the success of your business. Choosing between a men's and women's clothing line could mean the difference between success and failure.
#3: Converting Runway Fashions To Retail Offerings
The fashions that walk down the runway are rarely seen by customers in their traditional form. The dresses and other outfits that are seen in fashion shows will help launch the brand in the public eye, but those fashions are altered before they are placed in stores. Big data helps a designer understand which outfits will be most successful when they are sent to retail stores around the world.
#4: The Pricing For Each Garment
The garments produced for each fashion show must be priced once they leave the runway. Every garment will receive a price that will be posted inside stores, and designers must understand the prices their customers will pay. Big data is easy to average, and the average price can be placed on garments to make sales easier to complete.
Designers must be willing to price their garments to sell to specific customers. Garments that are incredibly expensive will only sell to the most affluent customers, and those garments must be priced to compete with other haute couture offerings. Items that are priced for sale to the general population must be reduced greatly after their conversion, and designers may use big data to price their products, and each product may take on a price that is derived from the previous year's data,
#5: Uncovering New Product Categories
Your business must uncover new products that will be successful. Big data will help you understand which products you can sell successfully and which products must be avoided. The fine line many fashion companies must walk is whether or not making a completely unique product will put you under. Depending on consumer mass appeal can make or break you. In the yoga pants line, for example, a completely unique and complicated pattern can put you over your competitor, where this might break you in a shoe line. You may choose a product line that will help you expand your design house, and you must use big data to decide if you must continue selling these products.
There are several different ways a fashion house can expand its offerings, and the data you collect will help you remain competitive in the fashion industry. Your business must release products that are most likely to sell, but you cannot create any product without first consulting the data you have collected. The fashion industry is changing as creative designers use analytics to operate their businesses, and each step in this article will help guide your business. Selectively use your data to create and convert product lines your customers are sure to buy in the future.