This AI Shopping Assistant gives online shoppers a new, useful way to discover items they need and love, disrupting the current search and product discovery paradigm.
Constructor, an AI-powered product discovery and search platform for enterprise ecommerce companies, announced its AI Shopping Assistant (ASA), a conversational product discovery tool. Shoppers on ecommerce websites and mobile apps can interact with ASA to discover and explore products related to their interests and intent — with ecommerce companies increasing loyalty, engagement, and conversions.
Eli Finkelshteyn, Constructor CEO, said, “Our AI Shopping Assistant gives online shoppers a new, useful way to discover items they need and love — disrupting the current search and product discovery paradigm. We already have good product discovery solutions for people who know what they want and just want to search for it, or people who just want to browse a category, or take a product finder quiz.”
“But in cases where shoppers have a more complex need that they can only explain in natural language, like ‘I need healthy items for a picnic’ or ‘I want a trendy shirt to go out in,’ the current paradigms don’t work. There was no good way to explain that need to the search engines of the past. That’s where our AI Shopping Assistant comes in. ASA makes suggestions based on detailed requests from a shopper — like a trusted, in-store associate would — while also instantly factoring in everything it knows about the shopper at hand. ASA underscores our commitment to applying generative AI to drive tangible value: enabling shoppers to better find what they need and be confident in their purchases, while helping ecommerce companies keep shoppers on their sites and boost their likelihood to purchase and their loyalty,” Finkelshteyn continued.
Powered by transformers, ASA blends generative AI with Constructor’s AI-based personalization technology and ability to optimize experiences for ecommerce companies’ unique key performance indicators (KPIs). When they engage with ASA on ecommerce sites and apps, shoppers can explain what they want in long-form natural language, or even have a conversation if they like, and then receive product and content recommendations personalized to their preferences, history and intent, and reflective of the ecommerce company’s real-time inventory.
