Constructor, an AI-powered search and product discovery platform for enterprise eCommerce companies, has unveiled its AI Product Insights Agent (PIA), a virtual “product expert” on retail product detail pages (PDPs). The latest addition to Constructor’s Agentic Suite, PIA combines generative AI (GenAI) with rich eCommerce data — including on shopper behaviour, product specs and real-time session context — to answer shopper questions, help them buy with confidence, and drive measurable results for retailers.
Today, online consumers increasingly search the way they speak, thanks to tools like ChatGPT — and their expectations for intuitive, conversational experiences now extend to retail. In fact, six in 10 shoppers (58 per cent) say they’d be comfortable using GenAI on retail sites, rising to 69 per cent among Gen Z.
PIA brings natural language experiences to product detail pages (PDPs), the key pages where shoppers evaluate individual items and decide whether to buy. Using the AI-powered Q&A agent, shoppers can:
- Ask freeform questions about the products they’re viewing — from sizing and fit to care, compatibility and even post-purchase use.
- Choose from frequently asked prompts — so shoppers can consider what they might not think to ask.
- Get fast, accurate and context-aware answers — no need to dig through specs, manuals or customer reviews.
PIA is already gaining traction across categories like home furnishings, fashion and beauty, and general retail — helping brands boost customer satisfaction, conversions and revenue.
That impact is already clear for early adopters like US-based Elevated Brands Group, parent company of home furnishing leaders Lightopia and Rugs Direct. Across both brands, shoppers who engaged with PIA delivered significantly stronger results than those who didn’t. For instance, Lightopia saw a 52 pe cent increase in add to cart rate.
When a shopper lands on a PDP at these retailers, PIA is ready with answers that close the confidence gap. On Rugs Direct, a shopper checking out an area rug might ask, “What is the right size for my space?” or choose from prompts like “Is this suitable for a home with kids or pets?”, “What is the pile height of this rug, and how does it feel underfoot?”, and “What are the recommended care instructions?”
And on Lightopia PDPs, shoppers can get answers to questions like: “What type of bulb is compatible with this fixture?”, “Does this include a dimmer?”, “Can this be used in a damp location like a bathroom?” and much more.
“We’ve already seen how powerful Constructor is when it comes to personalising search and product discovery for our shoppers — so it’s exciting to layer on this new conversational experience, right when they’re deciding what to buy,” said Sharon Gautschi, chief merchandising officer for Lightopia and Rugs Direct. “Even with a small slice of our traffic engaging with PIA so far, the impact has been clear and meaningful. And just as exciting, the data we’re getting back from PIA gives valuable insights into what our shoppers care about, so we can merchandise even more effectively around that.”
PIA draws on a wide range of data — including product specs, customer reviews, size charts, FAQ content, buyer’s guides, blog posts, support documentation and other retailer-approved sources — to generate instant, helpful responses. No manual setup, tagging or content creation is required. At its core, PIA functions like a highly trained virtual associate — one that’s always learning and improving.
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