Constructor Unveils AI Shopping Assistant — Blending Generative AI with Personalization, so Ecommerce Companies Can Help Shoppers Discover Items They’ll Love

Constructor, the leading AI-powered product discovery and search platform for enterprise ecommerce companies, announced its AI Shopping Assistant (ASA), a leading-edge 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.

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.

“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,” said Eli Finkelshteyn, Constructor CEO. “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.”

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“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,” Finkelshteyn continued. “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.”

AI Shopping Assistant Use Cases
Ecommerce companies across industries — including leading grocery chains, apparel brands and general retailers — are already taking advantage of AI Shopping Assistant on their ecommerce sites. They’re using the tool to address use cases and queries such as:

• Finding recipes and procuring ingredients — E.g., “What’s a good dessert I can make for someone who likes strawberries and is gluten-free?” In addition to generating recipes with items the grocer has in-stock, ASA makes personalized recommendations for each ingredient (so if the recipe calls for milk, and the shopper tends to buy organic, then options for organic milk will be shown). Customers can easily add every product to cart from the recipe page.
• Finding occasion-appropriate apparel — E.g., “I’m going to a formal wedding in the Caribbean in August. What can I wear in the summer heat?” Recommendations returned make sense contextually; are in-stock in the shopper’s size; and map to the shopper’s preferred styles, colors, price points, etc.

SOURCE: PRNewswire