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More than ever, customers now favour experiences over products. Fashion retailers have been implementing artificial intelligence (AI) to enhance customer experiences and improve operational efficiency. As such, fashion AI companies are playing an increasingly pivotal role within the apparel industry as a whole.

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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 fashion AI companies and apparel companies in artificial intelligence

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 fashion 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. 

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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.

Related Buyer’s Guides which cover an extensive range of solutions, suppliers and technology for the fashion and apparel industry, can also be found here.

Impact of artificial intelligence 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.

For full details (including contact details) on the leading companies within this space, download the free Buyer’s Guide below:

Frequently asked questions

  • What are the main applications of AI in the apparel industry?

    AI in the apparel industry is mainly used to enhance customer experiences, optimise supply chains, and improve inventory management. AI-powered tools, such as virtual try-ons and recommendation systems, allow brands to provide personalised shopping experiences, driving customer engagement. AI also helps with demand forecasting, which reduces overproduction and waste.

  • How does AI improve operational efficiency for apparel retailers?

    AI enhances operational efficiency through automation and predictive analytics. By analysing data, AI helps retailers streamline inventory management, optimise supply chains, and reduce operational costs. This leads to faster decision-making and improved resource allocation.

  • Which apparel companies are leading the adoption of AI?

    Several companies are leading in AI adoption, including Zara, Burberry, and Uniqlo. These brands leverage AI for inventory management, customer personalisation, and optimising their e-commerce platforms, allowing them to stay competitive and improve customer satisfaction.

  • How does AI help with personalisation in the apparel industry?

    AI-powered personalisation helps brands tailor product recommendations and marketing strategies based on individual customer preferences and behaviours. By analysing shopping habits, purchase history, and even social media interactions, AI enhances customer loyalty and increases conversion rates.

  • What impact has AI had on brick-and-mortar apparel stores?

    AI has transformed brick-and-mortar stores by integrating digital experiences such as ‘magic mirrors’ and AI-driven customer service solutions. These innovations create immersive, tech-driven shopping experiences, helping stores compete with e-commerce by offering added value through personalised and efficient service.