Constructor introduced the AI Shopping Assistant (ASA), a generative artificial intelligence-powered tool for eCommerce websites and mobile applications.
According to a news statement issued by the company on Friday, January 12, the new ASA facilitates product discovery and exploration for customers while allowing eCommerce businesses to increase engagement and conversion rates.
According to Constructor CEO Eli Finkelshteyn, “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.” Constructor’s new ASA is intended for more complex scenarios, while it already provides product discovery solutions for customers that know what they want and only need to search for it, the business announced.
According to Finkelshteyn’s press announcement, “ASA enables buyers to explain what they are looking for in normal language, like “I need healthy foods for a picnic” or “I want a trendy clothing to go out in.” Potential use cases for ASA include discovering recipes and obtaining the supplies for them, locating clothing suitable for the occasion, and locating pertinent goods across categories.
According to the announcement, ASA contains intent-based, natural language prompting that provides pertinent suggestions and refines results in order to respond to a wide range of questions from shoppers. It also offers help for a range of outcomes, such as product recommendations, how-to guides, and instructions.
According to the release, ASA also incorporates Constructor’s connected product discovery algorithms, enabling it to learn from each step of the consumer’s purchasing trip and customize the buying experience.
According to the news announcement, “E-commerce companies can better meet shoppers on the pathway to purchase and build brand affinity and loyalty by applying AI to enable shoppers to search for products in new, flexible and interactive ways with ASA.”
Finkelshteyn told PYMNTS in a July interview about the company’s usage of AI in B2B apps that the technology can adapt and enhance its search filters and results over time by examining clickstream data and learning from customer behavior.
Finkelshteyn stated, “B2B has long had to put up with bad software, or one-size-fits-all software, that wasn’t really built for them.”
