Findologic introduces AI-powered virtual shopping assistant, Lisa

This article is brought to you by Retail Technology Review: Findologic introduces AI-powered virtual shopping assistant, Lisa.

Findologic, the search and navigation platform, has announced the launch of Lisa, an AI-based virtual shopping assistant, which uses intent signals and discovery to power improved on-site search to enhance customer experience and drive conversions.

Unlike traditional search solutions, which rely on keyword returns for on-site search and often deliver inaccurate search results that add friction to online shopping experiences, Lisa helps brands and retailers deliver seamless ecommerce journeys by turning search into understanding.

Powered by Artificial Intelligence (AI), Lisa returns on-site search based on an individual shopper’s buying intent signals in the context of a broad set of learnt user behaviours.  This allows the solution to personalise results for each shopper, delivering more accurate search returns that connect customers to a desired product faster, moving them along the sales funnel and increasing conversion rates. 

By intelligently applying understanding to on-site search, Lisa helps shoppers better navigate product category or brand searches, which means that, rather than returning hundreds of options, the solution uses skills to refine results to bring shoppers to the exact product they are looking for quicker.

Lisa also incorporates machine learning capabilities which allow it to learn and understand a shopper’s preferences and apply them to search, offering up personalised recommendations, which ranks the products the shopper is most likely to choose at the top of the list of results.

Lisa also offers up intelligent ways to refine searches for generic keywords, using the application of a skill that then asks the user a set of questions to progress their search based on their individual requirements. 

Jamie Challis, UK Director at Findologic, commented: “With almost half (41%) of shoppers experiencing frustrations with inaccurate search returns when shopping online, it is clear that traditional on-site search capabilities are no longer fit for purpose.  Not only do they fall short by adding friction and complexity into online buying journeys, they make it far more likely a customer will become so frustrated and overwhelmed with choice they will simply abandon a purchase all together.”

“It made no sense to us that retailers, who are having to invest heavily to get customers to their website and through the checkout in the first place, are being let down by poor online search.  By basing on-site search on intent and not keywords, retailers can revolutionise the way shoppers are served results online, to enhance CX, drive conversions and revenues, all while reducing returns and improving customer lifetime value.”