Machine learning algorithms use historical data to make predictions which helps retailers know how much stock to maintain to keep the business moving.
Virtual Stylist helps shoppers find the right fit, rise, and stretch that's best for them. The chatbot uses processing technology to reply to customers.
By gathering and analyzing purchase data, brands can better predict customer preferences. Using this information alongside AI and machine learning, fashion retailers can create clothes that customers want to buy.
AI can help personalize the shopping experience, leading to making more informed purchases. In addition to elevating the customer experience and satisfaction, this reduces the return rate.
Visual search makes it easier for shoppers to discover and purchase the products they want. Simply snap and upload a photo of the product, then AI identifies the pictured product across several sites. Another type of search would be voice-driven search using NLP (Natural language processing).