Liste de contrôle pour le contrôle qualité des photos dans plusieurs magasins : auditez chaque magasin en 15 minutes

This multi-location photo QA checklist enables consistent quality auditing across all dealer group locations. Car background quality plays a critical role in this process. Complete the audit for each location in approximately fifteen minutes using the standardized scoring system below.

At a glance

  1. Shot sequence completeness
  2. Background consistency
  3. Edge quality
  4. Shadow presence and quality
  5. Image sharpness and focus
  6. Exposure and lighting
  7. Color accuracy and consistency
  8. Vehicle presentation
  9. Framing and composition
  10. Overall professional impression

Pre-audit setup

Before beginning:

  • Access the location's published inventory listings.
  • Randomly select 10 vehicles from current inventory.
  • Open each vehicle's photo gallery for review.
  • Have your scoring sheet ready.

Audit scoring system

Each criteria scores 0-2 points:

  • 2 points for fully meets standard.
  • 1 point for partially meets standard (minor issues).
  • 0 points for does not meet standard (significant issues).
  • Maximum score per vehicle: 20 points (10 criteria x 2 points).
  • Maximum score per location: 200 points (10 vehicles x 20 points).

QA checklist: per vehicle assessment

  • Criteria 1: Shot sequence completeness - Are all required angles present? Hero exterior, multiple exteriors, interior views, odometer visible, trunk shown.
  • Criteria 2: Background consistency - Is background consistent within set and with group standards? All exterior photos use same approved background.
  • Criteria 3: Edge quality - No visible halos or fringing, mirrors and antennas intact, wheel areas clean, smooth transitions.
  • Criteria 4: Shadow presence and quality - Shadows present under all exterior shots, no floating appearance, direction consistent, intensity appropriate.
  • Criteria 5: Image sharpness and focus - Vehicle body sharp and in focus, details visible, no motion blur.
  • Criteria 6: Exposure and lighting - Vehicle properly exposed, no blown highlights, no crushed shadows, interior adequately lit.
  • Criteria 7: Color accuracy and consistency - Vehicle color appears accurate, consistent across angles, no unnatural shifts.
  • Criteria 8: Vehicle presentation - Exterior appears clean, interior staged, no distracting objects.
  • Criteria 9: Framing and composition - Vehicle centered with buffer, no awkward cropping, consistent positioning.
  • Criteria 10: Overall professional impression - Would this represent the brand well? Does it match group standards?

Score interpretation

  • 180-200 (90-100%): Excellent.
  • 160-179 (80-89%): Good, minor issues.
  • 140-159 (70-79%): Needs improvement.
  • Below 140: Significant issues, immediate intervention needed.

Audit notes section

Record the following:

  • Location name.
  • Audit date.
  • Auditor name.
  • Strengths observed.
  • Areas requiring improvement.
  • Recommended actions.
  • Follow-up required status.
  • Follow-up date.

How Car Background AI supports quality auditing

Car Background AI's template-based processing makes many audit criteria pass automatically. When all locations use approved Car Background AI templates, background consistency, edge quality, and shadow criteria achieve high scores by default.

Final thoughts

Consistent quality auditing across locations requires standardized criteria and scoring. This checklist provides the framework; regular application provides the accountability. Implement Car Background AI to make audit criteria achievable across all your dealer group locations.

Frequently asked questions

How often should I audit each location?

Monthly audits provide sufficient monitoring for most groups. Increase frequency for locations with recent problems or during new process rollouts.

Should the same person audit all locations?

Ideally yes, for consistency. If multiple auditors are necessary, calibrate by having them audit the same sample independently and comparing scores.

What do I do with audit results?

Share results with location managers promptly. Create action plans for scores below target. Track trends over time. Recognize improvement.

Should locations know when audits happen?

Unannounced audits reveal actual performance. However, some advance notice can reduce anxiety. Consider mixing announced and unannounced audits.

How do I handle disputed scores?

Review specific photos together with the location manager. Reference documented standards. Maintain auditor authority while showing fairness.

Image description

Tamas Magda

Cofondateur, croissance et partenariats chez Car Background AI

Tamas Magda est cofondateur de Car Background AI (carbackground.ai, CarBG), un éditeur de photos automobiles propulsé par l'IA qui remplace les arrière-plans des photos d'inventaire des concessions. Il dirige les partenariats, la croissance et l'architecture commerciale, en collaborant avec l'équipe de développement sur la feuille de route produit et avec les concessionnaires sur les besoins réels de leurs annonces en ligne. Fort d'une expérience en création d'entreprises en APAC et MENA, il écrit sur le merchandising automobile, les flux de travail photo des concessionnaires et l'utilisation de l'IA sur les images d'annonces sans altérer le véhicule lui-même.

Tamas est cofondateur de Car Background AI et détient un intérêt financier dans l'entreprise. Les articles qui mentionnent Car Background AI reflètent cette relation.