Abstract representation of a car colliding with a pillar.

Global damage detection for fleets with AI and IoT

Carvaloo uses artificial intelligence to automate the detection and documentation of vehicle damage. Thanks to Deutsche Telekom's international IoT connectivity, the solution can be used globally.

"With Telekom's IoT services, we can offer our AI solution worldwide in a reliable and scalable manner."

Tom Althoff, Managing Director carvaloo

Three steps to your IoT use case

Challenge

In fleet operations, such as car sharing or last-mile delivery, damage often goes unnoticed or is rarely reported. Especially with changing drivers and large vehicle fleets, it is practically impossible for operators to assign damage to the parties responsible. Providers are left to bear the costs. This is compounded by time-consuming manual processes and a lack of transparency in damage management.

Solution

carvaloo uses artificial intelligence to automatically detect damage to vehicles and reliably assign it to the person responsible. Movement and image data from the vehicle are analyzed in real time. The AI reliably distinguishes between normal driving maneuvers and damage-related events. Data is transmitted securely and is available worldwide via Telekom’s IoT network. This creates a digital damage report that automates the entire process from detection to settlement. The reports can be integrated into existing fleet management systems.

Customer benefit

Fleet operators benefit from the recovery of damage costs, made possible by clear allocation to the person responsible. The frequency of damage also decreases in the long term, because the increased transparency leads to a greater sense of responsibility on the part of drivers. Reliable AI damage detection also leads to a significant reduction in manual inspection costs. The solution is internationally scalable and supports providers wherever their vehicles are on the road.

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