Car Inspection with AI

Challenges for car valuation and inspection in the United Kingdom

Challenges for car valuation and inspection in the United Kingdom are depicted in a heat map, with darker colors representing more significant issues and lighter colors indicating less severe problems.

Lack of Transparency in Online Vehicle Valuation.
Uninformed Consumers About Valuation Changes.
Hidden Factors Impacting Final Valuation.
Misleading Online Valuation Information.
Discrepancy Between Online and Onsite Valuation.
Need for Improved Explanation of Valuation Factors.

User Research

Gender Distribution

  • Female - 36%
  • Female Female - 36%
  • Male -64%
  • Male Male - 64%

Age Distribution

UX Approach

Clear and Informative Online Valuation Process:

  • Provide users with a clear, step-by-step online valuation process that clearly explains each stage.
  • Offer detailed information about the factors that may impact the final valuation, such as market conditions and vehicle condition.

Real-time Valuation Updates:

  • Implement a feature that updates users in real-time about how various factors are affecting their valuation during the online process.
  • Create an interactive tool that allows users to experiment with different inputs (e.g., mileage, condition) to see how it affects the valuation in real-time.

Trust-Building Design Elements:

  • Use trust-building design elements such as trust badges, customer reviews, and clear policies to reassure users about the reliability of the service.
  • Develop educational resources or FAQs to help users understand the entire valuation process and potential adjustments.

Market Research

High-Fidelity Design

Benefits of Showing "Similar Cars Recently Sold" and "Price vs Mileage Graph"

Contextual Understanding
Market Comparison: By displaying recently sold similar cars, users can contextualize the suggested price of their vehicle within the current market. It offers a tangible reference point, making the valuation more understandable and relatable.

Price Justification
The "Similar Cars Recently Sold" section helps justify the suggested retail price by showing real-world examples of comparable vehicles.

Data Transparency
Presenting actual data points from similar cars sold provides evidence-based backing for the pricing, making the valuation more credible.

AI Inspection and Detection

Precision and Accuracy
The red circles show where the AI detects issues, providing immediate visual feedback. This guides the user on what the app is focusing on and assures them that the inspection is happening.

Comprehensive Information
Detailed breakdowns (parts, labor, auxiliary elements) with cost estimates provide transparency, helping users understand where their money will go.

Providing both "Cancel" and "Validate" options gives users control over proceeding with the repairs or canceling if they are not satisfied with the assessment.

Enhancing User Experience

Comprehensive Valuation Insights The app categorizes car valuation results into Excellent, Good, and Poor, each with a suggested retail price and detailed description. This transparent approach helps users understand their car’s value and condition, aiding in accurate self-assessment.

Personalized User Experience Personal touches, such as greeting the user by name and displaying specific details about their car model and valuation status, make the interaction more engaging. This personalization creates a more relevant and relatable experience for the user, fostering trust and satisfaction.

Personalized User Experience The app provides actionable insights by offering options for further checks, including MOT, Damage, and Full Vehicle Check. These options guide users on practical steps to potentially increase their car’s value or ensure its safety and reliability. The "Let’s address any other damages" button encourages proactive maintenance, which can lead to better valuation outcomes.