Fashion eCommerce Tips – How Visual Artificial Intelligence makes customers happier

How Visual Artificial Intelligence makes customers happier

Improve Customer Shopping Experiences with Visual Artificial Intelligence Solutions

Visual Artificial Intelligence is the combination of cutting-edge computer vision, image recognition, and deep learning solutions that businesses can adopt to provide the best customer shopping experience.

Visual Artificial Intelligence in fashion is changing this industry by playing a crucial role in the various key divisions – from marketing to personalizing the shopping experience. The impact of AI on the fashion industry is significant.

In this article, we will discuss how Visual AI is greatly improving the customer shopping experience. 


How Visual Artificial Intelligence is transforming the Customer Shopping Experience

Visual AI is changing the way we shop, discover, and connect with fashion by providing customers with faster, more efficient, and more engaging shopping experiences. Find here 7 ways to improve your shopping experience and captivate customers:

1. Personalized shopping experience:

Customers don’t just want personalization, they demand it. In this sense, recent  studies state that 71% of shoppers expect companies to deliver tailored interactions, with 76% getting frustrated when this doesn’t happen. So, personalization matters more than ever. 

AI algorithms can analyze a customer’s shopping history, preferences, and behaviors to suggest personalized recommendations and offer a highly customized shopping experience. This leads to an increased likelihood of a customer making a purchase and a reduced likelihood of returns, as the customer is more likely to be satisfied with what they buy.

2. Virtual Try-Ons: 

With the help of AI and augmented reality (AR) technology, customers can now virtually try on clothing items before buying. This not only provides convenience for the customer, but it also reduces the amount of waste generated by returns of clothing that did not fit properly.

3. Chatbots and Voice-Enabled Shopping: 

AI-powered chatbots and voice-enabled shopping assistants can provide customers with 24/7 support, answering questions, making recommendations, and processing orders. This leads to an improved customer experience, as customers no longer need to wait for a store to open or for a customer service representative to become available. But chatbots can be more than just a customer support channel.

With Visual AI-powered chatbots, retailers can bring a personal shopper and style advisor service in real-time, from somewhere.

4. Search, Filtering and Discovery:

Filters can help customers easily find the clothing items they are looking for based on various criteria such as size, color, style, and brand. In this sense, an efficient automated product tagging system is a must to make products more searchable.

But not always people know what they want or how to find it. By adding a visual search tool on the search bar, shoppers can find and discover fashion items in the same way they think about it – visually with no words. 

Also, the visual AI-powered product recommendation engines can assist shoppers in product discovery: Similar Product Recommendations and Complete the Look Recommendations.

5. Predictive Analytics: 

Visual AI can also analyze images to make predictions about fashion trends. The image analysis can provide important data which is not always implied in text, from the way customers combine garments to which are the latest real trends.

This can help fashion retailers stay ahead of the curve and offer customers the latest styles and trends.

6. Social Media, Ads and Marketing Campaigns: 

AI can help brands improve the performance of marketing campaigns and target their advertising efforts based on a greater association of customer interests. Imagine the ads shown on screen are a selection of garments that complement perfectly the look of the t-shirt you are seeing; or the ads’ handbag is like what top influencer wears in the photo. The possibility to wear the right article at the right time before the customers is a fact now with predictive analysis on sales.

7. Connected Retail Experiences: 

AI can also be used to create connected retail experiences, such as smart mirrors in fitting rooms that can provide customers with recommendations and information about clothing items, or smart stylists that can provide personalized fashion advice.


In conclusion, AI is transforming the fashion market by providing customers with a more personalized, convenient, and efficient shopping experience. As AI technology continues to advance, it is likely that the fashion industry will see even more changes and improvements in the customer experience in the coming years. Join us in the Visual AI revolution.  Wanna talk?

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