One way that AI is being used in the fashion industry is for look creation. By learning the patterns of fashion trends, AI can show complete outfit recommendations for products in online stores. Based on machine learning, algorithms can predict and recommend different combinations of clothing and accessories, providing consumers with a virtual trial experience.
In addition, AI is being used to improve inventory management. A disconnected process for checking stocks in distribution centers can lead to deficiencies and delays, negatively impacting revenue. With the help of AI, inventory management becomes more efficient and minimizes the risk of running out of stock.
AI-driven item search and recommendation mechanisms also ensure that customers can find what they are looking for quickly and effectively. An integrated AI solution can collect data from customer purchases and behavior to predict what will appeal most to potential customers with similar profiles in the future. If an item goes out of stock, AI can redirect customers to similar items on the retailer’s site, helping them easily find what they are looking for.
AI assistance services, such as chatbot and other tools that use artificial intelligence to communicate with customers through chat, content, or voice, are also being utilized by retailers. These tools can effectively engage and serve customers by quickly responding to questions, providing recommendations, and supporting them in their shopping journey.