The retail industry of the 21st century is highly dynamic. It has been facing many challenges that have been forcing industry leaders to revamp their strategies. Retailers must keep their businesses updated with new technologies. Where every industry is pursuing AI, the retail sector is no exception.
Retailers have started proactively adding generative AI to their systematic apparatus. According to a recent survey, 74% of retail businesses are extremely happy with generative AI. It transforms healthcare services by focusing on these three crucial things:
Personalized patient care, innovation, and operational efficiency.
Imagine a world where operations run smoothly and where every buyer gets a personalized shopping experience. Generative AI promises not only change but also a retail revolution. So, keep reading the article as we are going to explore the five generative AI use cases for retail.
Personalized Product Recommendations
Did you know that 71% of buyers want retail businesses to display personalized product recommendations? Moreover, 76% of buyers get frustrated when it’s not the case. However, don’t worry! Generative AI can help your business understand the likes and dislikes of your customers. For example, buying history, searches, add-to-cart items, and demographics.
The analysis of customer analysis means that you can easily learn about your buyers’ preferences. As a result, you will provide your customers with more personalized product recommendations. Resultantly, it will increase the chances of enhancing user engagement.
Amazon is the best example of the application of generative AI. The way it uses generative AI to create personalized recommendations is a leading example for other businesses. Using this modern technology, this retail giant analyzes their customers’ search and purchase experience.
As a result of the analysis, Amazon enhances customers’ shopping experience by recommending user-focused recommendations. Moreover, you know that it isn’t easy to offer such customized recommendations without a specialized generative AI development company. Hire their top-rated AI developers possessing proven experience in the retail business.
Product Visualizations
When it comes to product visualization, fashion websites should stop using non-appealing flat-lay photos and ghost mannequins. When online users view your products on models, they will visualize them better. Also, it is better when they can see dresses on models of different sizes and ethnicities. This is how your products will become more relevant to shoppers.
One of the major reasons for eCommerce returns today is that shoppers feel that products appear differently in person. You, as a retailer, can help your buyers understand products better by displaying them on realistic-sized models. This means that you must display the same segment on:
– Models of different sizes
– Models in different sizes
– Models of different ethnicities
On average, retailers spend around $100-$1000 per product on their products’ photography and digitization. This is a massive cost. Even by paying this amount for manual photography, most retailers fail to give the right picture of the product.
So, retailers must use generative AI to create automatic fashion models and images. Without taking new images, you can easily drape your same dress on models of multiple sizes and ethnicities. This will save you money on photoshoots, decrease returns, and increase customer engagement and conversions.
