Help your online customers discover great products faster

Generic AI shopping assistants give broadly relevant suggestions, but they don’t understand the individual behind the query. They can't, because they aren’t trained on your own ecommerce data. Constructor’s AI Shopping Agent is trained on full, verified shopper clickstream data. When paired with our proprietary machine learning algorithms, this means consumers receive personalized shopping experiences that are simultaneously optimized for critical ecommerce metrics, like conversions, AOV, and LTV.

The AI Shopping Agent understands intent by combining natural language understanding with real shopper behavior and commerce-specific AI. It interprets conversational user queries like a human, learns from your shoppers’ actions (clicks, add-to-carts, purchases), and uses your product catalog and merchandising logic to surface the most relevant products. This blend of context, behavior, and ecommerce intelligence lets the agent guide shoppers with personalized, conversion-driving recommendations.

Our AI-powered shopping assistant automates manual busywork so merchandisers can focus on strategy. In other words, it handles repetitive decision-making at scale while giving teams more control, visibility, and time back.

It doesn’t rely on keywords alone. It understands context and intent. This is due to our AI agent using real-time user behavior, product data, and the latest AI technologies (natural language processing, transformers, and LLMs, to name a few) to dynamically tailor responses for every session.

Yes, it integrates well with multiple platforms and other components of your ecommerce tech stack. But in order to work optimally, the AI assistant should be part of Constructor’s broader suite of product search and discovery solutions. Built on Constructor’s Native Commerce Core™, it draws on signals from Search, Browse, Collections, Recommendations, etc. to deliver accurate, personalized guidance. When deployed alongside these products, the agent has a deeper understanding of shopper intent and behavior — resulting in stronger performance and more consistent outcomes.

Most customers begin proving value through Constructor’s Proof Schedule in a matter of weeks. During this data-driven, low-risk pilot program, our team uses your real customer behavior data, runs tests, and shares transparent results so you can see the tangible ROI — in revenue, conversions, and improved customer engagement — before making a commitment. If satisfactory, we can have ASA officially live on your site and mobile app soon after.

Customers using Constructor’s AI Shopping Agent reap valuable insights and meaningful lifts in conversions, revenue, and other ecommerce-specific metrics because of the AI tool's advanced capabilities under the hood. In the case of Belk, shoppers who used the AI-powered agent converted at more than twice the rate of shoppers who didn't use it.

Yes. It adapts to different catalogs, verticals, and shopper behaviors across markets. Regional preferences, naming conventions, and localized behavior all feed into the engine, providing hyper personalized experiences no matter the vertical nor location.

The agent is an intelligent system that can automate tasks, perform predictive analytics, and more, but merchandisers are the ones left to ultimately set rules, user preferences, compliance guardrails, and curated outcomes based on their business strategy. The agent cannot override them and can only act as guidance.

Absolutely. The agent scales for complex catalogs, detailed product specs, and long decision cycles — making it well suited for both B2B distributors and manufacturers. On the B2C side, retailers enjoy the benefits of an always-on virtual assistant that is forever answering questions and surfacing best-fit products despite ever-changing customer behaviors and preferences.