A large automotive retailer wanted to make their online car-buying experience as intuitive as an in-person conversation. Traditional search filters and forms were slowing users down. Shoppers didn’t want to select checkboxes and dropdowns, they wanted to simply ask questions in their own words.
Customers expected quick, natural interaction. The existing system required structured, form-based input that felt mechanical.
This caused several issues:
Lower engagement on the website
Hidden inventory that customers never saw
Missed sales opportunities because the system could not interpret natural intent
Users might say, “I need a car for my son that is moving to college under 20 K that is fuel efficient” but the system needed exact form inputs. The disconnect between how people speak and how systems listen was hurting both the customer journey and the bottom line.
Prmpted by WorldsView Solutions implemented Synaptic Search, a GenAI-powered natural language search engine built to make structured data conversational.
Synaptic Search understands what users mean, not just what they type. It adapts to people instead of forcing them to adapt to systems.
Parses natural language using advanced AI models
Extracts key entities like model, price, and location from any phrasing
Combines semantic matching, fuzzy logic, and SQL filtering
Ranks and returns the most relevant results instantly
The retailer’s platform became conversational. Customers could search naturally and discover vehicles that were once buried in the system.
Results:
Increased conversions as more listings were viewed
Reduced training for staff and customers
Easier discovery through contextual “Did you mean” suggestions
Scalable for other departments like HR, retail, and customer support
Synaptic Search transformed digital automotive sales by bridging human language and data logic. Customers now interact with inventory naturally and teams save time finding what they need.
Prmpted by WorldsView Solutions helped turn static search into meaningful conversation.