How Fashion e-Commerce is adopting top AI trends making waves in 2019

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How Fashion e-Commerce is adopting top AI trends making waves in 2019

 

 Fashion is one of the most rapidly growing industries with enormous implications at different levels. With the emergence of modern technologies, it has led to providing huge amounts of data that was started to disrupt the industry. We have listed some of the top AI trends in fashion e-Commerce and how they are disrupting the existing setup.

 

  1. Giving similar product recommendations: Visitors tend to abandon the site when an item is out of stock or not having the required size. This is where AI comes to your rescue. Through computer vision and image tagging services, it is possible to automatically suggest similar items when a customer is taking a look at a specific garment or accessory on a brand’s website or online marketplace. It can be a useful feature when customers do not exactly find the right item in the size they want, thus reducing the chances of abandonment. It not only just relies on customer data or behavioural data but also focuses on visual similarities of the item that a person is looking for. The clothing recognition is carried out using a computer vision, and the visual features can be extracted by an automatic product image tagging tool.

 

  1. Recommendation engines: It is widely known that many traditional brick and mortar businesses still display products following a set of guidelines. These are meant to attract customers to items that they are most likely to sell or buy. Similarly, with the advent of digital transformation and e-commerce, a retailer’s goal is to personalize the merchandising depending on the customer’s taste. This is the main reason why AI-powered recommendation engines are quickly gaining traction in the E-Commerce field. Image tagging services also play an important role as it relies heavily on the data and image. Personalized product recommendations based on user behaviour data may sometimes be disappointing if data is not correlated to it. The more the system is fed with data, the easier it is to predict what the customer may be interested in, translating into higher conversation and profit, which can be combined with visually similar recommendations based on product data.

 

  1. Virtual Assistants and Chatbots: One of the most researched fields in AI for fashion is virtual assistants or chatbots. These are virtual machines that recommend garments and accessories that best suit a specific customer via a chat as if they are working full time like actual shopping assistants. Services are fed with data, and the systems can learn from each customer interaction. Data enrichment improves the algorithms that the systems are based on to provide relevant recommendations, thus increasing conversion rates. Online fashion companies like Levi, Adidas, Asos have managed to increase their sales by 300% using a chatbot alone and by allowing its customers to find the piece that best fits them using a similar solution.
  2. Visual Search: Ever tried to find something you liked online that you do not know how to describe in words? The visual search aims to eliminate this hassle by enabling customers to take a picture of the product to search for it online. With the use of computer vision and image recognition, image tagging services, a visual search can match the image uploaded by the consumer and with the closest image on the retailer’s catalogue thus increasing the chances of relevant results, in turn, driving conversions. Many have jumped on this bandwagon, and if you are one make sure you integrate visual search onto your portal, letting them snap any piece of clothing or accessory they find and search for the same on your website.

 

Multiple brands and marketplaces have already adopted different AI solutions to boost their e-commerce performance and meet e-consumers’ evolving expectations. They are predicting behaviour, forecasting trends, optimizing operations, etc.—all thanks to AI. We  at Desicrew provide a combination of Human intelligence and Artificial Intelligence with the leverage of process expertise to solve business problems. We have a full suite of AI/ML services to develop, deploy, and manage AI-enabled solutions with exciting start-ups and built in-house.

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