A 3D configurator that turns visitors into quote requests
Buyers shape a steel structure in 3D and send the exact specs to sales, so follow-up starts with a quote.
- Software and AI product
- Live, results being measured
At a glance
Client WeStruct Steel Fabricators
Client
WeStruct Steel Fabricators
Industry Industrial manufacturing
Industry
Industrial manufacturing
Time to build 6 weeks
Time to build
6 weeks
Team 3 specialists
Team
3 specialists
Year 2025
Year
2025
Status Live, results being measured
Status
Live, results being measured
Every case on this site answers the same four questions, so you can compare them.
Before
Static pages and a quote form could not show what the company could build, and high-value buyers left before asking for a quote.
What it does now
The buyer rotates a steel structure in 3D and sets spans, heights and column sections.
Structural weight and an indicative price update as they change it.
Submitting sends the full configuration to HubSpot with the lead.
Sales opens the lead with the buyer's own design already attached.
Where a person decides
The live price is indicative. A salesperson confirms the real quote after checking the design.
Result
Live and being measured. We'll publish conversion figures once there is enough data to compare.
How we built it
Built the 3D canvas with React Three Fiber and Three.js, with mouse and touch controls.
Tied the span and height controls to the model's geometry.
Wrote the engine that estimates weight and price as the design changes.
Sent every configuration to HubSpot with the lead.
Stack
- Next.js
- React Three Fiber
- Three.js
- GSAP
- HubSpot CRM
- TypeScript
- Vercel
From the project
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Your case study starts with an audit.
One to two weeks inside your operations. You get a map of where time and money leak, the return on each fix, and a fixed scope before we build anything.
Most businesses we meet have paid for an AI tool nobody uses. We start from your numbers, so the first build is chosen by payback.
Zain Khan and Anwar Sheikh
Founders, OutGrow