SilkFred launches AI personal shopping experience
Leading fashion marketplace, SilkFred, has launched an innovative new shopping tool to help women discover tailored fashion recommendations – saving time and injecting fresh thinking into people’s baskets.
The tool named ‘Fred’ analyses users shopping habits on SilkFred such as dwell time, purchase history and browsing history to personally curate bespoke recommendations across clothing and accessories.
To access the tool, users simply head to the bottom right corner of SilkFred’s homepage and click on the “Fred” widget.
SilkFred stocks over 900 independent fashion brands, with over 1,000 new styles dropping weekly, meaning shoppers can browse some of the best independent fashion out there. Fred operates as a personal shopper, helping users find styles that will suit their style, saving shoppers time and adding luxury of personal recommendations.
Emma Watkinson, SilkFred’s CEO discusses the tool: “We understand that finding unique and stylish clothing can be overwhelming in today’s fast-paced fashion world. That’s why we’ve invested in the latest AI technology to create a seamless and personalised shopping experience for our customers to be served clothes they will love from independent brands.”
“What sets SilkFred’s recommendation engine apart is its ability to understand and adapt to your unique fashion preferences over time. The more you browse and shop on SilkFred, the smarter the recommendation engine becomes, constantly learning and improving its suggestions to suit your evolving style.”
Watkinson concludes: “We’re excited to offer our customers a personalised styling experience like never before, fully utilising the latest innovation AI has to offer in the shopping space.”
“Our recommendation engine is constantly evolving and improving, and we’re confident that it will become an invaluable style companion for our customers worldwide. We’re already getting some incredible feedback.”
SilkFred ships worldwide, with specific sites catering to customers in the UK, US, Australia, Ireland, and UAE.
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