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Layne

Layne: Unlocking Up To 25% Higher Seller Prices via Codetribe's Data-Driven Platform

Layne

Family Offices
Company Type
Zurich, Switzerland
Location
Project work
Engagement Model
1 - 5 people
Team Size
3 - 6 Months
Duration
$50K - $100K
Budget

About

Codetribe built the Layne platform for direct P2P used car sales, delivering technology that enabled sellers to achieve up to 25% higher prices compared to dealers. We developed core features including automated listing suggestions and a sophisticated fair price estimation engine. This key functionality required analyzing and mapping approximately 5-6 million data points to ensure market fairness and build user trust, demonstrating our ability to

Challenge, approach, and impact

Implementing Complex Data Analysis for Fair Vehicle Valuation

Develop a core feature providing trustworthy, data-driven vehicle price estimations by integrating, mapping, and analyzing millions of disparate data points to ensure market fairness and build user confidence in a P2P setting.

Designing a Trusted & Streamlined P2P Marketplace

Create a user-friendly platform for direct P2P vehicle transactions that eliminates traditional pain points (like haggling/uncertainty) and builds trust through transparent processes, fair pricing guidance, and ease of use for both buyers and sellers.

Building a Comprehensive Vehicle Marketplace Platform with Partner Guidance

Develop a full-featured P2P vehicle marketplace platform from concept to launch, including frontend, backend, and specific tools (like chat/search), while providing expert guidance and partnership to a client seeking technical direction.

How we built

Marketplaces
Booking Systems
Mobile Apps
API
Data Analytics and Visualization
Integrations
Web Apps

Testimonials

Natasa Stojadinovic, PM @ Codetribe

Codetribe

Verified Testimonial

Managing the Layne project was a fantastic challenge in bringing an ambitious vision to life. The goal of creating a fair and simple P2P car marketplace was clear, but the technical complexity, especially developing the Fair Price Estimation engine by analyzing around 6 million data points, required meticulous planning and coordination. I'm really proud of how the Codetribe team collaborated—developers, designers, QA—to tackle that data challenge while building out essential features like chat and intuitive search. Delivering a robust, user-friendly platform that achieved Layne's goals and demonstrably helped sellers get better prices felt like a major success for everyone involved.

Team structure

Client team

Rasoul Jalal's avatar

Rasoul Jalal

CEO

Daily point of contact

The client stakeholders at Layne were working closely with the team at Codetribe

Agency team

1 x Backend Engineer's avatar

1 x Backend Engineer

Production

1 x iOS Engineer's avatar

1 x iOS Engineer

Production

1 x Project Manager's avatar

1 x Project Manager

Governance

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