Top Analytics Trends Fueling Growth in Fashion Retail

Oct 4, 2017

price elasticity analysis

The fashion industry is so dynamic that there stands a very thin line between a fad and a trend. It is impossible to know which style will set the fashion world on fire, and which great designs would not work out. The field is highly influenced by celebrities, movies, shows, and social media, making it difficult to identify which style will go viral. But amidst all such uncertainties, major fashion retailers are still able to profitably run their business by accurately forecasting stock levels and fashion trends. They are certainly not relying on black magic to do so. Fashion retailers are using data analytics to analyze trends, purchase stocks, mark up prices, choose styles, and distribute stocks. They are turning towards new technologies in data analytics to improve their profitability. Here are some of the analytics trends in fashion retail:

Get in touch with our experts to know more about advanced analytics.

Digital and Social Media Analytics

Social media is a catalyst for driving sales in retail sectors throughout all stages in a sales funnel. The data obtained from social media can guide the strategy formulation process by understanding the customer sentiment and social behavior. Advanced analytics systems can track customer activities right from information search to final purchase to boost the conversion rate. Social media listening can enable the company to track the customer conversation in social media, blogs, chat forums, and other channels to identify customer preferences and track conversion.

For more queries on digital analytics in fashion retail, request a free demo today!

Cross-selling and Upselling through Personalization

People getting emails from e-commerce retailers for the launch of new collections, ‘items you may like,’ and ‘inspired by your browsing history,’ ‘your cart item is on discount,’ and ‘extra 20% off on similar styles’ is not uncommon these days. By leveraging massive amounts of customer data and analyzing recurring patterns, fashion retailers can personalize offerings and cross-sell and upsell products. Companies can increase customer loyalty and engagement by leveraging data analytics to create effective acquisition and retention campaigns.

Managing Seasonal Fluctuations

One of the biggest challenges facing fashion retailer is that of managing seasonal fluctuations. Retailers like ZARA are relying on real-time insights to shorten seasonal cycles to meet the changing customer preferences. Digital analytics provides the fashion retailers to have more flexibility in their supply chain responsiveness.

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Supply Chain Analytics and its Importance for Businesses

Supply Chain Analytics and its Importance for Businesses

Supply chains generate massive amounts of structured and unstructured data, which, when used efficiently, can enable organizations to gain intelligent, actionable insights. Traditional supply chains, that do not make use of data analytics are siloed and slow-moving,...

read more
Four Metrics in the Telecom Industry to Make Smart Decisions

Four Metrics in the Telecom Industry to Make Smart Decisions

What you can expect from the Telecom Analytics Metrics Article IntroductionTelecom Analytics Metrics Highlights of the Telecom Analytics Metrics Article S NoTelecom Analytics Metrics1.Average Revenue Per User (ARPU)2.Minutes of Usage (MOU)3.Churn Rate4.Subscriber...

read more


Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.


Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Share This
Talk to us
Talk to us