Shopping Muse is a generative AI shopping tool that can understand colloquial language and turn it into personalised shopping results.
It’s able to take social media hashtags, like ‘cottagecore’ or ‘beach formal’, as well as other contextual information or event information to generate tailored searches. In order to provide these personalised answers, the system takes into account the context of the questions it’s being asked, looking at the user’s on-site behaviour, previous purchases and preferences (if they are logged in), combining it with data from the retailer’s product catalogue. It also looks at what they have added or removed from their basket during their shopping journey, helping to add contextual information in real-time.
When shoppers can’t find the words for what they’re looking for, the tool’s advanced image recognition tools lets users hunt for similar items using their own pictures. While the tool is currently limited to fashion, there is huge potential here to expand its use across other categories from grocery to homewares.
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