3D Repair Configurator to Accelerate Spare‑Parts Service
ConverterTec’s Interactive 3D Rack Puts Every Module One Click Away
ConverterTec Marketing & biz dev Manager Holger reached us to craft an online 3D configurator that empowers wind‑turbine owners to locate broken parts inside power‑electronics module in seconds and instantly dispatch a replacement request to an authorised reseller. The aim: minimise downtime, cut support e‑mails, and reinforce ConverterTec’s reputation for fast, forward‑thinking service.
3D Repair Configurator to Accelerate Spare‑Parts Service
ConverterTec’s Interactive 3D Rack Puts Every Module One Click Away
ConverterTec Marketing & biz dev Manager Holger reached us to craft an online 3D configurator that empowers wind‑turbine owners to locate broken parts inside power‑electronics module in seconds and instantly dispatch a replacement request to an authorised reseller. The aim: minimise downtime, cut support e‑mails, and reinforce ConverterTec’s reputation for fast, forward‑thinking service.
Characteristics:
- 3D‑interactive configurator
Special Options:
- Fully textured 360° animation racks of power‑electronics modules
- Direct service‑request workflow (part selection → reseller → form submission)
Use:
- ConverterTec website – “3D Simulation Repair Request” section
Sales demonstrations
- Trade Shows
Examples:
Characteristics:
- 3D‑interactive configurator
Special Options:
- Fully textured 360° animation racks of power‑electronics modules
- Direct service‑request workflow (part selection → reseller → form submission)
Use:
- ConverterTec website – “3D Simulation Repair Request” section
Sales demonstrations
- Trade Shows
Examples:
What was the objective?
ConverterTec is a global expert in power‑conversion systems for wind turbines. When a customer’s converter fails, every hour of downtime is costly. Their team needed a self‑service tool that would let technicians visually locate the faulty module inside a complex cabinet, then submit a repair or replacement request without lengthy e‑mail exchanges. The goal: cut diagnosis time in half and channel enquiries straight to the right reseller.
What was the objective?
ConverterTec is a global expert in power‑conversion systems for wind turbines. When a customer’s converter fails, every hour of downtime is costly. Their team needed a self‑service tool that would let technicians visually locate the faulty module inside a complex cabinet, then submit a repair or replacement request without lengthy e‑mail exchanges. The goal: cut diagnosis time in half and channel enquiries straight to the right reseller.
What value does our solution provide?
Speed – Customers identify a part in seconds, attach photos, and send a request instantly.
Accuracy – Visual selection eliminates part‑number errors and misunderstandings.
Efficiency – Automated routing reduces ConverterTec support workload and speeds quotation.
Engagement – A modern, immersive 3D experience underlines ConverterTec’s innovation leadership.
Data insight – Each request lands in a structured database, giving Marketing new analytics on failure trends and regional demand.
What value does our solution provide?
Speed – Customers identify a part in seconds, attach photos, and send a request instantly.
Accuracy – Visual selection eliminates part‑number errors and misunderstandings.
Efficiency – Automated routing reduces ConverterTec support workload and speeds quotation.
Engagement – A modern, immersive 3D experience underlines ConverterTec’s innovation leadership.
Data insight – Each request lands in a structured database, giving Marketing new analytics on failure trends and regional demand.
What challenges did we face?
Highly detailed 3D models of power‑electronic assemblies had to be optimised for the web without losing critical geometry.
Designing a UX/UI intuitive enough for field technicians yet powerful enough for engineering staff.
Website integration – the configurator had to live inside the existing TYPO3 CMS without slowing page loads or breaking SEO.
Multi‑regional workflow – routing requests to the correct reseller while complying with GDPR requirements for data transfer.
What challenges did we face?
Highly detailed 3D models of power‑electronic assemblies had to be optimised for the web without losing critical geometry.
Designing a UX/UI intuitive enough for field technicians yet powerful enough for engineering staff.
Website integration – the configurator had to live inside the existing TYPO3 CMS without slowing page loads or breaking SEO.
Multi‑regional workflow – routing requests to the correct reseller while complying with GDPR requirements for data transfer.
How did we manage the project timeline?
| Phase | Key Actions | Duration |
|---|---|---|
| Discovery & UX wireframes | Meeting with ConverterTec team; user‑journey mapping | 2 weeks |
| 3D optimisation & prototype | Decimated STEP files, early viewer published for feedback | 4 weeks |
| Back‑end & form logic | Built API to reseller database | 1 weeks |
| Integration & testing | Embedded in staging server; cross‑device QA | 2 weeks |
| Go‑live | Hand‑over, final performance tuning | 1 week |
How did we manage the project timeline?
| Phase | Key Actions | Duration |
|---|---|---|
| Discovery & UX wireframes | Meeting with ConverterTec team; user‑journey mapping | 2 weeks |
| 3D optimisation & prototype | Decimated STEP files, early viewer published for feedback | 4 weeks |
| Back‑end & form logic | Built API to reseller database | 1 weeks |
| Integration & testing | Embedded in staging server; cross‑device QA | 2 weeks |
| Go‑live | Hand‑over, final performance tuning | 1 week |
How did we ensure successful delivery?
Iterative reviews – Weekly MS Teams calls and click‑through demos kept all stakeholders aligned.
Version control – Git‑based pipeline for both code and 3D assets ensured traceability.
Performance budget – Hard limits on polygon count
How did we ensure successful delivery?
Iterative reviews – Weekly MS Teams calls and click‑through demos kept all stakeholders aligned.
Version control – Git‑based pipeline for both code and 3D assets ensured traceability.
Performance budget – Hard limits on polygon count
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