Fast Simon launches image search shopping
Shopping optimization platform Fast Simon, formerly InstantSearch+, launched the AI Visual Discovery suite on Monday (October 18), which allows shoppers to use images from their smartphones, Instagram accounts or store catalogs to drive results one-click instant matchmakers.
Visual Discovery automatically identifies all objects in an image, which means merchants can “complete a look” for consumers, increasing basket sizes and conversion rates.
“Images are one of the most powerful inspirations for shoppers, especially in the fashion space,” said Zohar Gilad, CEO of Fast Simon, in the company’s announcement. “Use advanced AI [artificial intelligence]we enable merchants to provide their customers with a powerful means of engagement – visual discovery – and better adapt to changes in user shopping experience preferences. »
Fast Simon’s AI Visual Discovery suite adds software integration to e-commerce and a dashboard that provides detailed analytics on shopper engagement, conversion, and average order value (AOV).
Related News: Can AI police Facebook? Maybe not yet, according to the report
On Sunday, October 17, The Wall Street Journal reported that a review of internal Facebook documents showed the social media giant’s AI can’t always identify racist rants or first-person videos of shootings, among other things. topics.
The documents also show that Facebook employees believed that the platform removes only a fraction of posts that violate its rules, according to the WSJ report. The algorithm posts content less often when it can’t determine if the content violates Facebook’s rules, but it doesn’t remove the post or sanction the accounts that posted it.
Facebook has also reduced the time spent by human reviewers processing hate speech complaints over the past two years, and made other changes that have reduced the number of complaints. This has led Facebook to become more reliant on AI, according to the WSJ report.
The documents also show that Facebook employees who were accused of keeping offensive or dangerous content off the platform said the company was falling short of its goals when it came to effectively filtering out such content.