As e-commerce sales have increased following the Covid-19 outbreak, retailers face increasing pressure to bring customers back to their brick-and-mortar stores. More than ever, customers now favour experiences over products. Retailers have been implementing artificial intelligence (AI) to enhance customer experiences and improve operational efficiency.
Recommended Buyer's Guides
One of the most adopted use cases of AI technology across apparel and beauty in-store is magic mirrors, which have been deployed by several retailers, including Charlotte Tilbury, Bourjois, and Uniqlo.
Leading apparel companies in AI
Consumers that had previously been reluctant to shop online have embraced e-commerce during the pandemic. Amid the shift to e-commerce, several retailers have adopted AI-integrated personalisation as a part of their customer loyalty strategy. Retailers often use the personalisation of marketing communications as a recovery strategy to prevent lost sales from cart abandonment as it can help build traction and increase customer loyalty.
Leading adopters of AI in the clothing industry include Apple, Lowe’s Home Depot, Kroger, and Zara.
Discover the leading AI companies in the apparel industry
Using its experience in the sector, Just Style has listed some of the leading companies providing products and services related to AI.
See Also:
The information provided in the download document is drafted for apparel industry executives and technology leaders involved in AI apparel solutions.
The download contains detailed information on suppliers and their product offerings, alongside contact details to aid purchasing or hiring decisions.
Amongst the leading vendors of AI in the fashion industry are CloudMinds, Deep Instinct, Delvify, Infinite Analytics, Modiface, Yieldigo, Intelistyle, Quidini and Syte.
Impact of AI on the apparel industry
AI can increase speed, efficiency, and accuracy across every branch of a retail business, with advanced data and predictive analytics systems allowing retailers to make data-driven business decisions. AI is transforming the way consumers purchase products online, which has spurred innovation in customer service conversational platforms.
Several case studies highlighting the use of AI within the apparel industry can be studied. Burberry has integrated AI and big data into customers’ in-store experiences by using their online information, including social media habits and purchase history. Sales assistants at brick-and-mortar stores can access this information via tablets, and AI-enabled algorithms provide suggestions based on customer information.
Zara is one of many retailers using AI to enable efficient in-store customer services by improving the ‘buy online, pick up in-store (BOPIS)’ model. Consumers can now place orders online and then go to the brick-and-mortar store to collect their goods. As more customers shift to placing online orders and collecting in-store, Zara is improving its BOPIS process with automation.
