
Best4Tires is one of Europe’s leading B2B specialists in tires, wheels, and complete wheels. With an extensive product range, high-performance logistics, and many years of industry expertise, B4T reliably supports workshops, car dealerships, and retailers in their day-to-day operations. Alongside its product expertise, B4T is increasingly focusing on digital solutions to make processes more efficient and deliver real added value to its partners.
The development of a new and innovative tool for the Best4Tires webshop demonstrates how this ambition was put into practice: Together with diva-e, a new, scalable complete wheel configurator was developed to sustainably improve the digital customer journey in the B2B sector.


As part of the relaunch of its B2B webshop for tires, wheels, and complete wheels, Best4Tires (B4T) faced a key decision: Rather than continuing to use the existing standard configurator, the company decided to develop its own white-label solution.
The goal was to create a future-proof, flexible platform that integrates seamlessly with existing systems while also serving as a scalable foundation for additional shops and applications.
Particular attention was paid to the technical design of the underlying data structure and its long-term maintainability – a crucial factor for sustainable scalability.
No mobile optimization
Potential for improvement in the user experience
Missing features for professional users
Translating a highly complex data structure into an intuitive user experience
Orchestrating multi-step configurator logic in an easy-to-understand way
Ensuring a consistently responsive experience across desktop and mobile
Establishing a new digital corporate design without disrupting the existing brand identity


Together with B4T, a clear vision was defined:
Developing a New Digital Design
A modern foundational design would serve as the basis for all future digital applications and ensure the consistent evolution of the brand.
MVP Across All Channels
Conceptualization and design of the core functionalities – fully responsive and featuring optimal user guidance.
Scalable Design and Architectural Foundation
Preparing for the gradual integration of additional features beyond the MVP.
The project was delivered in clearly defined phases:
Foundational Design Development: Establishing the new digital design direction and UX principles.
Framework & User Guidance: Defining the UI framework, including progress indicators and contextual guidance.
Configurator Logic & Selection Steps: Detailed development of the process logic and interaction patterns to ensure intuitive user guidance.
Finalization of All Design Components: Detailed specification of all UI elements as the basis for technical implementation.
The consulting and UX phase lasted approximately two months. The data structure was prepared internally, while the diva-e Conclusion teams supported the integration into the platform.

The project team brought together experts in consulting, UX/UI, and application management, ensuring comprehensive support – end-to-end, from strategy to design specifications.


The configurator is currently available as an MVP on both desktop and mobile, with further development phases underway. With its white-label configurator solution, B4T now has a flexible, future-proof foundation for continued growth. The platform creates independence, strengthens the brand, and simultaneously optimizes processes for professional B2B customers.
With the new complete wheel configurator, B4T benefits on several levels:
White-label capabilities, ensuring independence from external providers
Reusability for additional shops, brands, or partner solutions
Accelerated scaling without the need for redevelopment
Intuitive, clearly guided ordering processes
Full mobile usability
Dedicated features for professional B2B users
Integration into the new digital corporate design
Modern, forward-looking appearance
Consistent brand experience across all touchpoints
Reduced support inquiries through improved user guidance
Higher data quality and fewer input errors
Optimized workflows