Big Data is transforming and playing an important role in logistics, supply chain, as well as in designing process in the fashion and apparel industry. The fashion industry is standing tall on meeting the demand of the customer in anyways, but the entire procedure of big data marketing is transforming, and this helps in selling the products as per individual preferences. The big data analytics has made the reach and now become the internal part of the fashion and apparel industry. This is helping the industry to meet the expectations, trend, and demand of the consumers going on in the market. The latest trend is the trend of customization and for this big fashion and apparel enterprises are opting fashion design software so that they can upscale their offering of cloth customization. Big data has a huge role in understanding the consumer behavior, trend analysis, and attractions of the customer. Big data is successfully involved in the creation of marketing strategies by exploring consumer experiences and creating awareness towards customers to move forward.
Big Data transforming big brands:
Major fashion players are opting the big data rapidly along with the various industries. In the line, Amazon has taken smart mover advantage taking perfect body measure of people accurately. This vast collection of the body is critically nothing but the data, which is collected by Amazon for understanding the body transformation with the time. Big Data cannot be depicted for the online or eStore retailers when they go through 45% purchase returns because of the fitting problems in cloth purchase. But with big data, online retailers offer a customer with a perfect fit as per the demands for higher customer satisfaction.
Big brands like Zara are in the first lane, making use of big data to understand their customer even better. The success stories of Zara is all because of the continuous utilization of data of their existing customer for understanding the taste and trend of their customers and make a robust marketing strategy fully based on customer's needs. Big data plays an essential role and act as a backbone in the case of big brands like Zara and others. In-store data of Zara was taken from 100 global market shops to analyze the customer's expectations.
Similarly, like Zara, Ralph Lauren has also included big data with the help of consumer data analytics for predicting the upcoming future trends and its approaches, which includes cost, clothing, and fitting of the consumer. Recently Poltech shirt is considered an advanced fabric, manufactured by popular polo-shirt and Ralph Lauren together. This shirt was specifically designed for players; it was created as a large sensor, based on the movements and instructions, along with real-time data as well as biometric data such as heart rate, pulse rate, and respiratory rate, steps taken by you and calorie wearers burns while working. Data analysis can be done through algorithms and can get transmitted through the cloud. With such strong wearable technology, all the data are available for estimating fashion trends for running track, apparel data from anywhere.
Big data and customers:
Big data helps the enterprises and retailers by a fully digitalized channel of the supply chain to meet the requirement and demand of the fashion. Big Data also helps the enterprise to serve their customer more efficiently. The data collected with the help of online medium showcase the public opinions about their likings and preferences. But, firstly, it is essential to gather, analyze, and clear the online data before using it for making any desired strategy. The perfect example of raw big data farming is of Le Tote, a fashion based rental service which enables the customer to wear accessories and cloth' and return them after the use. This enables the company with a huge collection of data and its filtration based on customer's preferences for analyzing the latest algorithms and gives best clothes as per the needs and requirements. Lee Tot, unlike Stitch Fix, collects and processes data for a personalized style service to collect and predict the choice of the end customer.
According to consumer feedback, the company draws large numbers of data to come up with those categories which are unique and fit for the needs of the customers. The important data work in all these sections is to estimate the tendency of any apparel before its launch. There is a vast impact on big data for the fashion industry.
More to do with big data:
Big data is not used simply to analyze the data for better customer trend if the product is good to go, then online shopper showcases it on their eStore. In the same situation, it can be effective for estimating turnaround time and for the next sale, it is critically very essential to analyze the habit and trend of the customer.
It is as same as the Google tracking the speed of the smartphone for the flow of traffic; the customer's data can be collected with the help of tracing WiFi signal of customer's phone.
To determine the length of stay to analyze the movements and patterns, only the Wi-Fi client can be tracked on which category they spend and the particular product. Big data helps online retailer to offer the product as per the customer preference like to showcase those products which they usually purchase from eStore.
When it is about a runaway, Big Data critically plays red carpet role. Those who do not have a budget of using the catwalk models can transform their collection into off-the-shelf clothing. Through the right choice of tailored solutions, big analytics data can be utilized for exploring the trend going on in the market. Fashion designers of this tech-driven world have to see. First, that jumpsuit can be accepted or not by the consumers. The data extracted by the social media makes the retailer find the working goods for bringing the product out from the shelves and started offering to the desired consumer.
Comments
Post a Comment