ROLE OF BIG DATA IN FASHION AND RETAIL

    
              ROLE OF BIG DATA IN FASHION AND RETAIL

To study the role of big data in fashion industry, let us first be clear about the term ‘Big data’. Big Data is originally a business term-which involves major things like capturing the data, storing, analyzing, transferring and sharing the data.

It is not based on traditional systems of collecting the data. It has complex challenges like studying consumer behavior and needs.

Now, fashion is a big term itself! There is always something to be updated about in fashion industry. Every day, every minute it’s changing. It has become very difficult for to cope up with the changing needs and desires of customers’ preferences. 

So, big data allows major fashion houses/industries to analyze customer’s taste and preferences in general, and also to analyze their demand from the retailers in the terms of material, design and price. The data collected is used to find ‘customized design’ for every buyer, irrespective of the fact that the customer is a fashion leader or a follower!

Today, the complexity is to cater to the needs of the buyer-whether or not he had any knowledge about the type of silhouette suits his/her body type, which color suits a specific skin tone. What is the color of the year, etc?

These specifications can only be known to a fashion enthusiast, a designer or major fashion houses.

In simplest terms, Big data role is to study and analyze all these factors at a far deeper level and end up resulting in customer satisfaction through customization of  their needs as far as possible and of course, to facilitate retailers or other fashion industries.