E-Commerce Search: Personalised Assistance
Brands are developing visual search and virtual fit-tech tools to gain a competitive advantage in the realms of m- and e-commerce, as Stylus identified in Solving Retail’s Search Conundrums. We highlight three new innovations that personalise the consumer’s online shopping experience.
- Virtual Fit Tech Helps Filter Searches: Canadian footwear-fitting technology company Ftsy has developed virtual fit tech to help narrow consumers’ choice after they have selected their preferred styles. The artificial intelligence-powered 3D foot-measuring app can be embedded directly into e-commerce sites, pulling data from e-commerce, POS or CRM solutions. “In future, if a consumer is watching a ‘see now, buy now’ catwalk show, it can tell them if a shoe will fit just by hovering on it,” Ftsy’s head of product, P.J. Worsfold, told Stylus.
- Speedy Assessment: US skincare brand Olay’s web tool recommends products according to the consumer’s individual skin type. Visitors are asked to upload a selfie on their mobile and submit responses to questions on age, skin type and problem areas. Artificial intelligence and ‘deep learning’ algorithms analyse the shots to determine users’ ‘real skin age’ and recommend suitable, instantly shoppable products.
- Visual Search Algorithm: British artificial intelligence specialist Visii has developed a visual search tool for London art e-commerce platform Artimage. Users can discover artworks based on their visual preferences by selecting 'subject’, ‘object composition’ or ‘style’, making browsing catalogue of 15,000 artworks a much easier process.