9 results about "Repair shop" patented technology

1. Name of the design product: tool stool (drawer). 2. Use of the design product: multifunctional tool stool, which can be used for repair work or home use, and placed in a residence, a storage room, a repair shop, a hardware store, etc. 3. Design points of the design product: in shape. 4. Picture or photo that best indicates the design points: design 6 perspective view. 5. Design 1 is designated as the basic design.

1. Name of the design product: tool bench (double tool tray). 2. Use of the design product: multifunctional tool bench, which can be used for repair work or home use, placed in a residence, a storage room, a repair shop, a hardware store, etc. 3. Design points of the design product: in shape. 4. Picture or photo that best indicates the design points: design 2 perspective view. 5. Design 2 is designated as the basic design.

1. Name of the design product: tool stool. 2. Use of the design product: multi-functional tool stool, which can be used for repair work or home use, and placed in a residence, a storage room, a repair shop, a hardware store, etc. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The application provides an electric vehicle reconnaissance task intelligent management method based on multidimensional data cooperation. It belongs to the technical field of task management. The reconnoitering personnel submits information to the system, and the franchised repair shops are based on the preliminary repair demand pushed by the system; an automatic quotation model is constructed; surrounding comparison is conducted to generate a quotation ranking; the best franchised repair shop recommendation is automatically generated; the system detects abnormal cooperative behavior through historical quotation fluctuation rate, identifies and prevents collusive quotation behavior among franchised repair shops; for the franchised repair shops suspected of collusive quotation, the system marks them as high risk and pays special attention to them in subsequent quotation; after the repair is completed, the repair result is accepted, and the order settlement is completed after confirmation. The sliding window mechanism and Monte Carlo simulation are used to dynamically adjust the floating threshold, which avoids the false screening caused by the static threshold and improves the rationality of the quotation.

The invention provides an electric vehicle survey task intelligent management method based on multi-dimensional data collaboration. Belongs to the technical field of task management. A surveyor submits information to the system, and a franchise maintenance shop pushes a preliminary maintenance demand according to the system; constructing an automatic quotation model; performing peripheral price comparison to generate a quotation ranking; an optimal franchising maintenance shop recommendation is automatically generated; the system detects an abnormal cooperative behavior through a historical quotation fluctuation rate, and identifies and prevents a collusion quotation behavior between franchise maintenance stores; for the franchise maintenance shop with the suspected collusion quotation, the system marks the franchise maintenance shop with the suspected collusion quotation as a high risk, and focuses on follow-up quotation; and after the maintenance is completed, the maintenance result is accepted, and order settlement is completed after the maintenance result is confirmed to be correct. And a floating threshold is dynamically adjusted by adopting a sliding window mechanism and Monte Carlo simulation, so that false screening caused by a static threshold is avoided, and the rationality of quotation is improved.

A method by which an AI-based insurance claim information generation device generates AI-based insurance claim information is disclosed. According to one embodiment, the method may comprise the steps of: receiving estimate information from a repair shop; extracting text elements from the estimate information and embedding the extracted text elements; extracting standard-form estimate elements from a pre-established vector DB on the basis of vector values generated through embedding of the estimate elements from among the embedding results; generating, on the basis of the received estimate information, a standard-form estimate in which the standard-form estimate elements are reflected; predicting the probability of approval of the generated standard-form estimate by using a pre-established approval prediction model; and generating insurance claim information on the basis of the prediction result.

The invention provides a maintenance shop recommendation method and device based on artificial intelligence, equipment and a medium, and belongs to the field of artificial intelligence, and the method comprises the steps: obtaining a vehicle damage report of a damaged vehicle, and generating a plurality of candidate maintenance schemes based on the vehicle damage report through a preset maintenance scheme generation model; obtaining a candidate maintenance scheme selected by the user from the plurality of candidate maintenance schemes as a target maintenance scheme, and determining a plurality of candidate repair plants from the repair plant library according to the target maintenance scheme and attribute parameters of each repair plant in the repair plant library; obtaining a maintenance quotation submitted by each candidate repair factory based on the target maintenance scheme; and according to the attribute parameter and the maintenance quotation of each candidate repair factory, generating a recommendation list of the plurality of candidate repair factories, and pushing the recommendation list to the user. According to the method, the efficiency and the accuracy of selecting the maintenance factory with high cost performance by the user are greatly improved. The method can be applied to the financial field, and improves the user satisfaction of financial claim settlement products.

This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and / or learned user preferences associated with the user's past behavior. A user can perform / request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.