Retail already bet on artificial intelligence to increase sales

This year, a number of retailers decided to adopt artificial intelligence as a strategy to improve your sales. According to experts, the technology is getting more mature in a time when traditional retailers struggle to remain relevant. Today, the artificial intelligence can help buyers online in three ways: personalized recommendations and based on the tastes of consumers
Chatbots (robot that conversation from text messages) to help navigate the virtual world Sites that shape the behavior of the client to make it more attractive
Examples that work out
The Italian firm Cosabella lingerie, adopted an algorithm that is boosted by artificial intelligence to quickly test design options for the site – something that traditional methods would take too long. Courtney Connell, Director of marketing at Cosabella, says this strategy resulted immediately in a sales increase of 35%. According to her, the company plans to use artificial intelligence in other areas of the site and in marketing campaigns. Courtney says that the algorithm allows her and her team to save a lot of time and prioritize the creative aspect of marketing.
Two of the more traditional uses of artificial intelligence involve the visual search (offering customers products similar to pictures they liked and downloaded on the website) and personalized recommendations. In the end, both retailers as technology developers expect the engines of artificial intelligence to act as an experienced seller – comprising subtly which aspects are important to the consumer and which are not.
Already in the Skechers, the shoe industry, the customer can click on product like the portal and, in real time, the catalogue from the shop seeks to identify and offer similar styles. "That helps make the shopping experience more enjoyable," says Lara Diab, spokesman for the company.
In Nieman Marcus department store, customers can take pictures of anything you like, as a tennis buddy, and the application of retailer will introduce similar alternatives in their inventory. "In five years, let''s consider how pattern that, when we like a product, all we need is a picture," said Matt/its, President of Spare5, start-up that uses humans to train artificial intelligence engines.