Custom configurators built around your product logic — not around a template.
Every configurator we build starts with the actual business process: what decisions does the customer make, what rules apply, what output does the sales or operations team need? The technology comes second.
Example project: Garage door configurator
Krapp used their garage door configurator as the foundation of an entirely new business model — moving away from a large product range towards a service-focused, guided buying experience. The configurator is the product.
The configurator shows the customer in advance how the total price changes with every option selected. A product visualization always shows a live preview of the current garage door design. Built as an MVP using the Lean Startup method — logo, website and configurator delivered in minimal development time.
What custom configurators cover
- Any product with variants, dimensions, options and rules that interact
- CPQ (Configure, Price, Quote) processes for B2B sales teams
- Products where a guided step-by-step process prevents order errors
- Integration with ERP, PIM, shop or CRM systems
- Admin backends for product data, pricing and rule maintenance
- 2D and 3D visualization where it genuinely aids the decision
- PDF output, material lists, quote generation and cart handover
- Mobile and tablet optimized — without compromising the logic
How we approach custom configurator projects
We start by mapping the actual configuration process — not the ideal one. What do customers actually need to decide? Where do errors happen today? What information does the sales team need at the end? These answers define the architecture before any code is written.
We recommend starting with a focused MVP: a minimal but fully functional configurator for one product line or one process. This proves the concept quickly and gives a base for iterative improvement.
Connection to AI automation
Configurators become significantly more powerful when connected to AI automation. Inquiry emails can be parsed and turned into configuration drafts. Product data can be maintained automatically from ERP or supplier feeds. Quote documents can be generated and sent without manual steps. The configurator handles the customer-facing logic — AI automation handles the back-office workflow.