SOWEDO/Showcases/Arval

Self-inspection, with AI spotting the damage.

Arval wanted to make returning lease cars faster and more transparent. We built an app with which the driver inspects the car themselves using photo and video. AI recognises the damage and the report with costs is ready within ten minutes.

Want this too? →

What the system does

The driver inspects themselves, wherever and whenever
AI recognises the damage on photo and video
Report and costs within ten minutes
Car ready for sale right away

The assignment

Returning was slow, unclear and expensive.

Returning a car meant driving to a fixed location, waiting for the damage assessment and only then the final settlement. The driver didn't know where they stood, the fleet manager didn't know what it would cost, and the leasing company didn't know what condition the car would come back in.

Meanwhile cars sat on the lot unnecessarily long before they could move on to sale. Arval wanted it differently: let the driver inspect themselves, with the same report for everyone at the same moment.

App with step-by-step inspection

Capture with photo and video

AI that recognises and classifies damage

Report with costs for both parties

Nine scenarios, multilingual, per role

Car straight onto the trading platform

In brief

From return to sale-ready, without a stopover.

One app on the WEM platform with which the driver inspects the car and AI assesses the damage. Everyone immediately sees the same report.

Book an intro call →

About the client

Mobility as a service, not as ownership.

Arval provides operational leasing and mobility for companies and drivers. The sector is shifting from ownership to mobility as a service, where the customer experience matters at every stage: from acquisition to use to return. It was precisely that last step that Arval wanted to reinvent.

In six months we built the inspection app together, with Arval's team learning to build on the no-code platform WEM themselves.

Elektrische leaseauto tijdens de zelfinspectie — The driver inspects the car with the app, at their own location.

How it works

Three steps, by the driver themselves.

Capture

The driver walks around the car with the app and takes photo and video, at their own location and their own time.

AI recognises the damage

Several AI models scan the footage and mark the damage. Together they cover 85 percent of all damage.

Report and costs

The report with damage and costs is ready within ten minutes, for driver and fleet manager at the same time.

In pictures

This is what it looks like.

The driver inspects the car themselves with photo and video, all around.

AI translates the capture into a damage overview per zone.

AI markeert herkende schade op de beelden

Recognised damage is automatically marked on the footage.

The report with repair costs and charge-through, clear right away.

What it delivers

Where the gains are.

In 180 days from manual and slow to self-service, fast and clear.

85%Of the damage recognised by AI.

48 hrs → 10 minReport and costs after the inspection.

22 → 2 daysCar on the lot before sale.

>50%Of returns fully automatic.

And the car is up for sale sooner.

Cars go straight onto the trading platforms with inspection photos, and invoicing to dealers runs fully automatically. Disputes about the condition of the car have all but disappeared.

Figures measured over the first 180 days after go-live.