专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明专利

CA2600656A1 COMPLIANCE MANAGER 未知
公开(公告)号：CA2600656A1
公开(公告)日：2008-05-08
申请号：CA2600656
申请日：2007-09-07
申请人： MITCHELL INTERNATIONAL INC
发明人： EMMERSON MICHAEL , LITTOOY HANS , PUGLIESE VINCENT
IPC分类号： G06Q40/00 , G06Q50/00
摘要： An estimate compliance tool to specify estimate compliance criteria is presented. In one embodiment, the tool can be provided using hardware, software or a combination thereof, and can be configured to include functionality to facilitate creation of rul es to outline criteria for estimate creation or invoicing. In one embodiment, a user interface is provided to a user to provide the opportunity to enter vehicle and parts identification to whic h a rule will apply. The user can also be prompted to enter a rule requirement or suggestion such as, for example, the type of parts required. The system can include a first module configured to accept user input specifying vehicle criteria; a second module configured to accept user input specifying parts criteria; and a third module configured to create an estimate complian ce rule based on the entered vehicle selection criteria and parts criteria. The system can further include a storage medium configured to store a plurality of created estimate complianc e rules and a profile module configured to create a rules profile comprised of a plurality of estimate compliance rules. Additionally, a compatibility module configured to check a plurality of created rules for conflicting rule criteria can be provided.

2. 发明公开

EP3798939A1 AUTOMATED VEHICLE REPAIR ESTIMATION BY ADAPTIVE ENSEMBLING OF MULTIPLE ARTIFICIAL INTELLIGENCE FUNCTIONS 审中-实审
公开(公告)号：EP3798939A1
公开(公告)日：2021-03-31
申请号：EP20199277.3
申请日：2020-09-30
申请人： Mitchell International, Inc.
发明人： GULATI, Abhijeet , HYLAND, Joseph
IPC分类号： G06Q10/00
摘要： Automated vehicle repair estimation by adaptive ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from a plurality of sources, vehicle repair recommendation sets identifying recommended vehicle repair operations for damaged vehicle components; selecting, by a trained artificial intelligence function, one of the operations for each component based on a plurality of learned states; generating a composite vehicle repair recommendation set identifying the selected operation; providing the composite vehicle repair recommendation set to one or more claims management systems; and repeatedly retraining the trained artificial intelligence function by adjusting the learned states according to the vehicle damage objects received, and the corresponding composite vehicle repair recommendation generated, since the last retraining of the trained artificial intelligence function.

3. 发明公开

EP3200139A1 METHODS FOR IMPROVING AUTOMATED DAMAGE APPRAISAL AND DEVICES THEREOF 审中-公开
标题翻译：提高自动损伤评估方法及其装置
公开(公告)号：EP3200139A1
公开(公告)日：2017-08-02
申请号：EP17154277.2
申请日：2017-02-01
申请人： Mitchell International, Inc.
发明人： SULLIVAN, Beau , NAYAK, Sunil
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0278 , G06K9/6256 , G06K9/78 , G06N3/08 , G06Q10/20 , G06Q30/016 , G06T7/0004 , G06T2207/10016 , G06T2207/20081
摘要： A method, non-transitory computer readable medium, and apparatus that improves automated damage appraisal includes analyzing one or more obtained images of property using a deep neural network with multiple hidden layers of units between an input and output and which has stored knowledge data encoded from one or more stored property damage images to identify which area of the property has damage. Damage data on an extent of the damage in the identified area of the property is determined using the deep neural network which has stored knowledge data encoded from one or more stored property damage images. The identified area of the property with the damage is mapped to one of a plurality of stored repair procedure templates to generate a list of one or more parts and one or more repair lines to make a repair. The generated data list for the identified area of the property with the damage is provided.
摘要翻译：一种改进自动化损害评估的方法，非暂时性计算机可读介质和装置包括使用具有输入和输出之间的多个隐藏单元层的深度神经网络来分析一个或多个所获得的财产图像，并且其存储了从一个或多个存储的财产损失图像以识别财产的哪个区域具有损害。使用已存储从一个或多个存储的财产损失图像编码的知识数据的深度神经网络来确定财产的识别区域中的损害程度的损害数据。将具有损坏的财产的识别区域映射到多个存储的修理过程模板中的一个，以生成一个或多个零件的列表以及一个或多个修理线路以进行修理。提供了所生成的损坏财产的确定区域的数据列表。

4. 发明公开

EP3629257A1 METHODS FOR ESTIMATING REPAIR DATA UTILIZING ARTIFICIAL INTELLIGENCE AND DEVICES THEREOF 审中-实审
公开(公告)号：EP3629257A1
公开(公告)日：2020-04-01
申请号：EP19200112.1
申请日：2019-09-27
申请人： Mitchell International, Inc.
发明人： The designation of the inventor has not yet been filed
IPC分类号： G06Q10/00
摘要： A method, non-transitory computer readable medium, and an apparatus for automated estimation of repair data includes applying a first generated artificial intelligence model on a received vehicle damage image associated with an electronic claim to identify damaged component(s) on a vehicle without using any metadata. A heat map analysis is performed on the received actual vehicle damage image to identify a damage severity value associated with at least one of the identified damaged component(s). A second generated artificial intelligence model is applied on the received actual vehicle damage image and the damage severity value associated with the identified damaged component(s) to determine repair data and a repair-or-replace designation. The determined repair data and the determined repair-or-replace designation for at least one of the identified one or more damaged components is provided in response to the received actual vehicle damage image associated with the electronic claim.

5. 发明授权

US11551308B2 Methods for evaluating and optimizing preferred provider organization (PPO) network stacks and devices thereof 有权
公开(公告)号：US11551308B2
公开(公告)日：2023-01-10
申请号：US16750322
申请日：2020-01-23
申请人： Mitchell International, Inc.
发明人： Jonathan Navarrete , Olaf Wied , Norman E. Tyrrell , Laura Spohn , Lee Haripko
IPC分类号： G06Q40/08 , G06Q30/04 , G06Q10/10
摘要： Methods, non-transitory machine readable media, and network stack analysis devices that generate optimized preferred provider organization (PPO) network stacks are disclosed. With this technology, electronic transactions are applied to each of a first plurality of network stacks to determine a cost reduction value for each of the first network stacks. Each of the first network stacks includes an ordered subset of networks. The first network stacks are resampled based on the determined cost reduction values. A determination is made when one or more convergence criteria are met by the resampled first network stacks. When the determination indicates that the convergence criteria are not met by the resampled first network stacks, one or more of the first network stacks are modified based on genetic crossover or mutation operation(s) to generate a second plurality of network stacks. The application, resampling, and determination are then repeated for the second network stacks.

6. 发明授权

US11544256B2 Systems and methods for automating mapping of repair procedures to repair information 有权
公开(公告)号：US11544256B2
公开(公告)日：2023-01-03
申请号：US16944038
申请日：2020-07-30
申请人： Mitchell International, Inc.
发明人： Scott Baierl , Abhijeet Gulati , Jerry Gastineau , Penny Genovese , Vicki Gurner , John Strong , Sarika Gupta
IPC分类号： G06F16/242 , G06F16/2458 , G06F16/28 , G06F16/93 , G07C5/00
摘要： Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

7. 发明授权

US11488117B2 Systems and methods for managing associations between damaged parts and non-reusable parts in a collision repair estimate 有权
公开(公告)号：US11488117B2
公开(公告)日：2022-11-01
申请号：US17005237
申请日：2020-08-27
申请人： Mitchell International, Inc.
发明人： Jerry Gastineau , Greg MacLean , Randy Susana
IPC分类号： G06Q10/00 , B60S5/00 , G07C5/08 , G06Q40/08
摘要： Systems and methods are provided for automating the process of determining non-reusable parts associated with replacement or repair of a primary part of a vehicle involved in a collision event. The primary parts to be repaired may be indicated in repair estimate record. Notably, replacement of some primary parts may require replacement of certain non-reusable parts (NRPs) that were not damaged during the collision event and are not identified as such. The method determines which NRPs are required to be replaced when repairing the primary damaged part by using repair documents specifying repair instructions for repairing the primary part. Further, the repair estimate record is updated to include the information related to the primary pars and their associated NRPs.

8. 发明授权

US11468422B2 Systems and methods for determining a provider-specific likelihood of payment acceptance 有权
公开(公告)号：US11468422B2
公开(公告)日：2022-10-11
申请号：US16997849
申请日：2020-08-19
申请人： Mitchell International, Inc.
发明人： Lee Haripko
IPC分类号： G06Q20/24 , G06Q20/38 , G06Q20/10
摘要： Embodiments of the application are directed toward a method comprising: receiving, by a transaction management computing apparatus, an electronic payment estimate via a secure communication channel for services rendered by a provider; receiving determining a likelihood of payment acceptance by generating, by the transaction management computing apparatus, an payment amount acceptable to the provider computing device based on data associated with the provider computing device, a type of service provided, or a number of days to make the payment; determining, by the transaction management computing apparatus, whether the generated exact amount is acceptable to the provider computing device; and completing, by the transaction management computing apparatus, a payment transaction with the generated exact amount when the generated exact amount is determined to be acceptable to the provider computing device.

9. 发明申请

US20220114558A1 SYSTEMS AND METHODS FOR IMPROVING USER EXPERIENCE DURING DAMAGE APPRAISAL 有权
公开(公告)号：US20220114558A1
公开(公告)日：2022-04-14
申请号：US17121437
申请日：2020-12-14
申请人： Mitchell International, Inc.
发明人： Jennifer Lyons , Marcel de Neve , Beau Sullivan
IPC分类号： G06Q10/00 , G06N20/00 , G06Q30/02 , G07C5/08
摘要： Systems and methods are provided for integrating damage evidence with appraisal management system to create a unified user experience for improving a virtual damage appraisal process. The system may display a curated collection of evidence providing an overview of the vehicle and sections of a vehicle damaged during an adverse incident. A user may select a damaged section from a plurality of damaged sections to view damage evidence determined by machine learning algorithms to best reflect the selected damaged section may be displayed. The damage evidence may be displayed concurrently with vehicle part selection and repair line editing functionality in a configurable graphical user interface (GUI) of a virtual appraisal application. Additionally, the system may generate set of recommendations for repairing or replacing the damaged parts in the selected section. The user may add the recommendations to a repair estimate as repair estimate lines.

10. 发明申请

US20220019858A1 MANAGING PREDICTIONS FOR VEHICLE REPAIR ESTIMATES 有权
公开(公告)号：US20220019858A1
公开(公告)日：2022-01-20
申请号：US16929984
申请日：2020-07-15
申请人： Mitchell International, Inc.
发明人： Joseph Hyland , Abhijeet Gulati , Dmitri Soloviev , Chenlei Zhang , Prarit Lamba
IPC分类号： G06K9/62 , G06Q10/00 , G06Q10/10 , G06Q40/08 , G06N20/00
摘要： Systems and methods for managing predictions for vehicle repair estimates are provided. A method includes providing one or more images of a damaged vehicle as input to a machine learning model, wherein the machine learning model has been trained with images of other damaged vehicles and corresponding vehicle operations, wherein each of the vehicle operations represents the repair or replacement of a vehicle component; receiving output of the machine learning model responsive to the input, wherein the output comprises a plurality of values each corresponding to one of a plurality of the vehicle operations; determining a confidence metric based on the values; making a comparison between the confidence metric and a confidence threshold value; and selecting the one of the plurality of the vehicle operations corresponding to the highest value as a predicted operation based on the comparison.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式