Tuesday, June 27, 2017

Redefining retail business with machine learning

Technology has transformed how brands and clients communicate with each other. Customers once depended upon in- store, face – to – face interactions to make the purchases and therefore receive support. Now-a-days, shoppers do research prior to entering the store itself. 

 In fact,it was revealed that 81% of the shoppers did online market research before making any purchases and therefore didn’t rely on the sales persons wholly for making their shopping decisions.
Retailer shop keepers, for their part have understood the need to embrace technology and how that can result in to extending their storefronts to the customer’s fingertips. Shoppers can buy from within their social networking apps and even compare prices without even entering or leaving a store. While these technologies have driven the retail industry to the digital era, technology that is still developing will have the largest impact on the future of the retail industries as well as customer service.

Adapting the Big Data

More retailers are tracking their customer’s shopping habits through data mediums like the social media, customer preferences/ demands, shopping history and market trends etc. By depending upon big data technology to achieve a deep understanding of the customers as well as their buying trends, retailers can maximize their customer’s expenditure and encourage shopper’s loyalty.
According to Market Research, 70% opined that big data was essential to maintain competitiveness, while other 82% concurred that big data was transforming the way how the interact and relate to the customers.

Matching products with shoppers

Machine learning technology increases the reach of big data analytics and can assist in creating an incomparable shopping experience.
Creative retailers can use the power of technology by machine learning algorithms to do particular things like determine available products from outside retailers or recommend the price, quality standard, marketing channel or shelf life that would reach the appropriate customer in the particular area.

Additionally, the ability to automate everything through machine learning and advanced analytics soon will mean that a normal customer service will be executed by bots, which can predict customer’s needs and offer service in the quickest and immediate way possible – i.e., by providing us items we didn’t even know we needed.

Developing the back-end

Advanced analytics and machine learning will not only change how we buy and proffer customer service, but also simplifies how retailers perform basic operations. The machine learning will ease up the monotonous work required to find a valuable insight within the pile of data. With the assistance of these tools, the retailers can find usable data to optimize shopping experience for the customers.

A digital assistant

In future, digital assistants like Siri will learn more about us and incorporate itinto providing customized product offers.


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