Just 24% of shoppers use site search, but they account for an impressive 44% of ecommerce revenue, according to research by search and product discovery platform Constructor.
In fashion specifically, product searchers add to cart at a rate of 37%, compared to just 22% for non-searchers.
Clearly there is a big opportunity for brands and retailers to optimise the product discovery experience, and AI can help.
Across search, personalisation, recommendations, chatbots and virtual assistants, AI is already driving higher conversions, greater merchandising efficiency and stronger customer loyalty.
It is helping brands and retailers shift from traditional product ‘relevance’ towards AI-driven ‘attractiveness’, matching shoppers not just with technically relevant products, but with the items they are most likely to love and buy.
Joined by British lifestyle brand White Stuff and jewellery brand Monica Vinader, in partnership with Constructor, we discuss:
– How ‘attractiveness’ and AI are shaping the next phase of ecommerce personalisation
– The power of AI search intelligence, recommendation engines and personalised product recommendations – how they work in reality
– The rise of chatbots and virtual assistants, plus visual search and image recognition, and their impact on the customer journey
– Actionable lessons from White Stuff and Monica Vinader on driving measurable revenue growth and customer satisfaction through AI-powered product discovery
Plus much more.
Panel:
– Harry Speedy, director, data and technology, Monica Vinader
– Rob Carter, senior ecommerce and digital marketing manager, White Stuff
– Lara Jakob, customer success manager, Constructor
Host:
– Graeme Moran, associate editor, Drapers
See the rest of the on demand Drapers Connects content here.