Finance applications
Chat-driven steps to capture or route finance interest without forcing users off the page they’re on.
Overview
Each demo is a self-contained product slice you can click through. Use the floating chat preview on this page for a quick recap, or launch the hosted app — that’s where the full assistant runs (including tools tied to inventory and finance).
VirtualCars — car dealership
A full browsing experience for cars, vans, buses, and trucks with a pop-up assistant styled for sales and support. On the live demo, the chat can guide shoppers through the flow end-to-end.
- Finance applications — submit or progress finance-related requests from the conversation.
- Vehicle-specific answers — dig deeper on the car the user is viewing, including richer context from web-grounded results when needed.
- Smart suggestions — recommendations that respect what the customer says they need and what’s currently listed in inventory.
The live demo includes a POPIA-style privacy banner: data you enter is for testing only, may be seen by other visitors, and can be deleted at any time. Please check that banner on the demo site and avoid submitting real personal information.
Aurora Bistro — restaurant website
A complete restaurant website experience with polished pages for menus, specials, events, table reservations, and a secure admin workflow.
- Guest-friendly pages for menu browsing, weekly specials, and upcoming events
- Reservation flow with form validation and confirmation states
- Admin area to manage menu items, specials, events, and reservation requests
Precision Auto Care — mechanic website
A clean, conversion-focused mechanic website with trust-focused messaging, service pages, and contact pathways designed for local service businesses.
- Modern homepage with key differentiators, hours, and customer testimonials
- Dedicated services page with clear descriptions and starting-price style ranges
- Contact page optimized for calls, email, and in-person visits
What the pop-up chat does
Mirrors the assistant experience on VirtualCars — summarized here for stakeholders reviewing our work.
Deeper vehicle Q&A
Answers tied to the vehicle in context, augmented with relevant web-sourced detail when shoppers ask beyond the listing.
Needs-based suggestions
Recommendations that combine stated preferences (budget, use case, fuel type) with live inventory signals.
Grounded in listings
The assistant stays aligned with what’s actually for sale — reducing generic or out-of-stock suggestions.
More demos
Additional industry builds will appear here. Contact us if you’d like a private walkthrough tailored to your vertical.