Handling vehicle damage claimsA smart analytic system for handling transport damage claims and detecting anomalies. The system is based on machine learning techniques.
- Financial institutions
- Insurance companies
- Experts and claims handlers
- OCR technology ‘reads’ the photographs and text;
- the parts of the vehicle’s body are detected, along with the type of damage;
- the self-learning mechanisms estimate the scale of the losses or damages;
- users are automatically registered;
- data searches concerning companies’ products and services are conducted;
- damages to vehicles are assessed on the basis of historical data and up-to-date information from the market, without a physical inspection.
- analyses several dozen features of various kinds in every case of damages;
- builds databases for analyses carried out on the basis of specific accidents;
- implements an ontology in order to analyse data which can be understood by artificial intelligence algorithms.
- Automating key parts of the claims handling process ensures a stable solution which is available 24/7 and reduces service costs
- The process can be tailored to specific handling requirements resulting from your company’s development policy and regional strategies
- Better use is made of the data and information available. This leads to:
- faster, more precise feedback, shorter claim handling times and a more transparent process, all factors which improve the customer experience;
- support for claims handlers in assessing claims for damages on the basis of the high-quality data held by your organisation;
- clear handling data in terms of estimating repair costs, making it easier to take better decisions as to where and how repairs should be carried out or whether a vehicle should be written off
- standardise data from various sources, facilitating the algorithms’ semantic comprehension of that data. This means, for instance, that the algorithms will understand ‘door, right, front’, ‘door, right-hand, front’ ‘right door, front’, ‘right-hand door, front’, ‘door, front right’, ‘door, front, right-hand’ ‘front right door’ and ‘front right-hand door’ as one and the same term;
- determine the division and dependencies between parts of the vehicle. As a result, the system will independently detect inaccuracies or potential fraud in a description of parts and damages;
- internationalise the software and terminology used. For example, the Polish prawe drzwi przednie and Finnish oikea etuovi are the same concept as ‘front right-hand door’ and its equivalents.