Artificial intelligence (AI) is changing the way we shop for fashion. Online retailers are embracing AI technology to help shoppers create fashion outfits, and with recent advancements, AI has the bandwidth to exponentially scale outfitting suggestions. Stylitics is one such company, led by founder and CEO Rohan Deuskar. Stylitics provides an AI-powered digital merchandising and styling technology that serves 100 million customers shopping for fashion and home furnishings at Walmart, Macy’s, Puma, Kohl’s, Revolve, and more.
Stylitics simplifies the process of identifying and recommending outfits in over 50 billion shopper sessions a year. The platform’s 4th-generation version includes advanced personalisation features for better intent and behavioural mapping, giving it ten times more speed across content creation systems. Deuskar explains that Stylitics’ original hybrid model pivoted from B2C (business-to-consumer) to B2B (business-to-business), meeting retailers’ needs for outfitting recommendations.
Consumers face the everyday challenge of the paradox of choice where conscious thought processes hinder quick purchasing decisions. Stylitics’ recommendations save consumers the time and energy to think about what outfit works best, making the purchasing process seamless.
Stylitics developed the first visual outfitting solution by creating a sort of ‘Nielsen for fashion,’ giving brands insights into what consumers had in their wardrobes. Deuskar says the platform maps consumer behaviour, using AI algorithms to recommend full outfits while reflecting the brand’s specific vision and merchant-specific considerations. The vast amount of data helps Stylitics identify the pairings that work for different retailers.
Stylitics’ growth potential is enormous, particularly in offering personalisation technology to customers. For instance, the platform factors in what shoppers have previously engaged or responded to while also accounting for geographical locations’ weather patterns.
Stylitics’ system is flexible enough to adapt to merchants’ needs, showing product recommendations suited to shopper needs without annoying them with data that does not interest them. The system can also offer recommendations based on items previously purchased or browsed.
Without a doubt, Stylitics’ success shows the vast potentials of AI in the fashion industry to strategise the merchandising of products to serve customer needs by helping shoppers eliminate overloads of choices. Stylitics’ AI technology takes factors like geolocation and past purchases to recommend suitable outfits, thus serving consumers with personalised shopping experiences.
