For many retailers on-site search is a broken experience. A large-scale usability study of ecommerce search last year found that 61% of all sites performed below an acceptable level of performance, 46% of sites didn’t support themed search queries, 27% of sites wouldn’t yield useful results if users misspell a single character in a product title, according to research from Baymard Institute.
Many merchants still don’t realise that they now can deploy the same level of sophistication that Google has done when it comes to answering complex Internet queries, but with on-site search – which has in fact changed very little in over a decade. They can do this by utilising AI in retail.
Several years back Google introduced new algorithms that allowed consumers to type in long-drawn out search queries and get accurate results back. Over time people around the world have changed their behaviour, they often now type in large strings of text when sourcing a product. However, traditional internal search engines cannot handle such complexity. Retailers have been slow to realise this.