Improve Customer Shopping Experiences with Visual Artificial Intelligence Solutions

Visual Artificial Intelligence is the mixture of cutting-edge computer vision, image recognition, and deep learning solutions that companies can adopt to offer one of the best customer shopping experience.

Visual Artificial Intelligence in fashion is changing this industry by playing an important role in the assorted key divisions – from marketing to personalizing the shopping experience. The impact of AI on the style industry is important.

In this text, we are going to discuss how Visual AI is greatly improving the shopper shopping experience. 

 

How Visual Artificial Intelligence is transforming the Customer Shopping Experience

Visual AI is changing the way in which we shop, discover, and connect with fashion by providing customers with faster, more efficient, and more engaging shopping experiences. Find here 7 ways to enhance 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 firms to deliver tailored interactions, with 76% getting frustrated when this doesn’t occur. So, personalization matters greater 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 results in an increased likelihood of a customer making a purchase order and a reduced likelihood of returns, as the shopper is more prone to be satisfied with what they buy.

2. Virtual Try-Ons: 

With the assistance of AI and augmented reality (AR) technology, customers can now virtually try on clothing items before buying. This not only provides convenience for the shopper, however it also reduces the quantity of waste generated by returns of clothing that didn’t 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 results in an improved customer experience, as customers now not have to wait for a store to open or for a customer support representative to grow to be available. But chatbots might be greater than only a customer support channel.

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

4. Search, Filtering and Discovery:

Filters will help customers easily find the clothing items they’re searching for based on various criteria equivalent to size, color, style, and brand. In this sense, an efficient automated product tagging system is a must to make products more searchable.

But not all the time people know what they need or the best way to find it. By adding a visible search tool on the search bar, shoppers can find and discover fashion items in the identical way they give thought to it – visually with no words. 

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

5. Predictive Analytics: 

Visual AI also can analyze images to make predictions about fashion trends. The image evaluation can provide essential data which is just not all the time implied in text, from the way in which customers mix garments to that are the most recent real trends.

This will help fashion retailers stay ahead of the curve and offer customers the most recent styles and trends.

6. Social Media, Ads and Marketing Campaigns: 

AI will help brands improve the performance of selling campaigns and goal their promoting efforts based on a greater association of customer interests. Imagine the ads shown on screen are a number of garments that complement perfectly the look of the t-shirt you might be seeing; or the ads’ handbag is like what top influencer wears within the photo. The possibility to wear the precise article at the precise time before the shoppers is a fact now with predictive evaluation on sales.

7. Connected Retail Experiences: 

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

 

In conclusion, AI is transforming the style market by providing customers with a more personalized, convenient, and efficient shopping experience. As AI technology continues to advance, it is probably going that the style industry will see much more changes and enhancements in the shopper experience in the approaching years. Join us within the Visual AI revolution.  Wanna talk?

This article was originally published at blog.wideeyes.ai