Constructor Introduces AI Shopper for Complex Queries

Lilu Anderson
Photo: Finoracle.me

Constructor Launches AI Shopping Assistant for eCommerce

Constructor, a leading technology company, has announced the launch of its new generative artificial intelligence-powered AI Shopping Assistant (ASA) for use on eCommerce websites and mobile apps. This innovative tool is set to revolutionize the way shoppers discover and explore products while providing eCommerce companies with the means to boost engagement and conversions.

Boost Engagement and Conversions with the New ASA

In a press release issued by the company, Constructor explained that the ASA is designed to make suggestions to shoppers based on their detailed requests and personal preferences, just like a trusted in-store associate would. By instantly factoring in the shopper’s profile, the ASA can provide tailored recommendations that are more likely to resonate with the individual. This level of personalization has the potential to significantly boost engagement and conversions for eCommerce companies.

AI Shopping Assistant Helps Shoppers Discover and Explore Products

While Constructor already offers product discovery solutions for shoppers who know what they want, the new ASA is designed to cater to more complex cases. Shoppers can now explain what they are looking for in natural language, such as “I need healthy items for a picnic” or “I want a trendy shirt to go out in.” This allows the ASA to understand their needs and provide relevant suggestions, enabling shoppers to discover and explore new products and categories.

ASA Uses Natural Language to Understand Shopper Requests

One of the key features of the ASA is its ability to understand natural language. By leveraging intent-based, natural language prompting, the ASA can accurately decipher shopper requests and provide relevant suggestions. Whether it’s finding recipes and procuring ingredients, identifying occasion-appropriate apparel, or discovering relevant items across categories, the ASA is equipped to handle a wide range of queries from shoppers.

AI-Driven ASA Personalizes the Shopping Experience

The ASA combines Constructor’s connected product discovery algorithms with generative AI to create a personalized shopping experience for each customer. By analyzing clickstream data and learning from customer behavior, the ASA continually adapts and improves its search filters and results over time. This level of AI-driven personalization not only enhances the shopping experience but also helps eCommerce companies build brand affinity and loyalty among their customers.

In conclusion, the launch of Constructor’s AI Shopping Assistant is set to transform the eCommerce landscape by providing shoppers with a more intuitive and personalized product discovery experience. By leveraging generative AI and natural language processing, the ASA enables shoppers to find products in new and interactive ways. This advanced technology also empowers eCommerce companies to better engage with their customers and drive conversions. As AI continues to shape the future of retail, the AI Shopping Assistant from Constructor is at the forefront of innovation in this space.

Analyst comment

This news can be evaluated as positive. The launch of Constructor’s AI Shopping Assistant is expected to have a positive impact on the market. It is set to transform the eCommerce landscape by providing shoppers with a more personalized and intuitive product discovery experience. This advanced technology has the potential to boost engagement, conversions, and build brand affinity and loyalty among customers. As AI continues to shape the future of retail, Constructor’s AI Shopping Assistant is at the forefront of innovation in this space.

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Lilu Anderson is a technology writer and analyst with over 12 years of experience in the tech industry. A graduate of Stanford University with a degree in Computer Science, Lilu specializes in emerging technologies, software development, and cybersecurity. Her work has been published in renowned tech publications such as Wired, TechCrunch, and Ars Technica. Lilu’s articles are known for their detailed research, clear articulation, and insightful analysis, making them valuable to readers seeking reliable and up-to-date information on technology trends. She actively stays abreast of the latest advancements and regularly participates in industry conferences and tech meetups. With a strong reputation for expertise, authoritativeness, and trustworthiness, Lilu Anderson continues to deliver high-quality content that helps readers understand and navigate the fast-paced world of technology.