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A conversation that ends with a quote, a 3D preview, and a signed order.
Complex B2B products — custom machinery, engineered systems, fitted interiors, bespoke industrial equipment — require a sales engineer to spec every configuration. That engineer is expensive, over-scheduled, and becomes the bottleneck between initial enquiry and quote. Most B2B buyers have already decided before they talk to sales; making them wait 3 days for a quote loses deals to whoever responds faster.
A prospect visits the site, answers 7 structured questions about their requirement, and sees a live 3D model of the configured product update in real time. At the end of the session they have a specification sheet, a price range, and a link to book a 20-minute call to confirm. Your sales engineer's time shifts from speccing every enquiry to closing the ones that are already configured.
A rules-based configuration engine (built from your product logic and constraints) drives a real-time 3D visualisation layer. An AI conversation layer handles non-standard inputs — "I need it to fit in a space about this big" or "we're running on 3-phase but only have 32A available" — and maps them to valid configurations or flags them for engineer review.
The 3D model is built from your existing CAD assets (or modelled from drawings if CAD is unavailable). The configuration output integrates with your quoting system or CRM via API.