Buying a car is one of the most expensive decisions most people make, yet the experience is often rushed, abstract, and disconnected from what users are actually purchasing.
Inventory shortages, long delivery times, and limited on-lot availability force buyers to commit to vehicles they’ve never fully seen—especially trims, colors, rims, and accessories. This disconnect creates hesitation, second-guessing, and lost confidence before purchase.
cARviewer was designed to close that gap by letting users see what they’re paying for before committing.
Research revealed that frustration didn’t come from lack of options, but from lack of visual certainty.
Key findings:
The inability to visualize configurations caused hesitation, mistrust, and decision fatigue—especially when paired with sales pressure.
The solution needed to work within real-world dealership conditions:
These constraints ruled out traditional configurators and pushed the product toward in-context AR visualization.
Rather than replacing sales staff or duplicating online configurators, cARviewer acts as a pre-sales clarity layer.
Its purpose is not persuasion—it’s confidence.
The product helps users:
This reframing shifted the design from “cool AR demo” to practical decision support.
The experience is intentionally linear and low-friction:
Find a parked vehicle
Users locate a similar model on the lot as a physical anchor.
.png)
Visualize configurations in AR
Colors, trims, rims, and interiors appear directly on the vehicle using AR overlays.
.png)
Explore specs and pricing
Key information is accessible without overwhelming the user.
.png)
Save or pre-order
Users can carry clarity into the sales conversation—or place a pre-order.
AR features were deliberately restrained to avoid novelty fatigue.
Design decisions included:
The goal was believability, not excitement.
Primary flow:
Locate Vehicle → Customize in AR → Browse Specs → Save / Order
Secondary flows support:
Nothing interrupts the main decision path.
Users reported:
For dealerships, cARviewer supported:
When decisions are expensive, users don’t want persuasion—they want certainty.
AR is only valuable when it reduces cognitive load, not when it adds novelty.