# US 2022/0044253 A1 · Systems and techniques for recall investigation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0044253 A1 - Document ID: US20220044253A1 - Status: Published application - Kind: A1 - Application number: 16/987,736 - Filed: 2020-08-07 - Published: 2022-02-10 - Earliest claimed: 2020-08-07 - Assignees: Ford Global Technologies, LLC - Applicants: Ford Global Technologies, LLC - Inventors: Michael Shanton; Thayne Hansen; John Michael Warwood; Agnes Philliben - Web page: https://patentgrep.com/patent/US20220044253A1 ## CPC - G06Q 30/014: Providing recall services for goods or products - G06F 16/258: {Data format conversion from or to a database} - G06N 5/04: Inference or reasoning models - G06Q 30/0185: {Product, service or business identity fraud} - G06Q 30/0201: Market modelling; Market analysis; Collecting market data - G06V 20/62: Text, e.g. of license plates, overlay texts or captions on TV images - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract Described herein are methods and systems for determining the disposition of a vehicle having an unresolved recall notice. The computing system receives a first data record from a first vendor and a second data record from a second vendor, the data records including data associated with the vehicle. The computing system applies alignment rules to each data record to normalize the data in each data record. The computing system applies outcome rules to each aligned data record to generate predicted dispositions of the vehicle based on each data record. The computing system applies cross-vendor rules to the predicted dispositions to generate a final disposition of the vehicle, customer, and/or part under recall. The computing system generates a graphical user interface including the final disposition of the vehicle for a user to view. ## Claims ### Claim 1 A computer-implemented method for determining a disposition of a vehicle having an unresolved recall notice, the method comprising: receiving a first data record from a first vendor, the first data record comprising first data associated with the vehicle; receiving a second data record from a second vendor, the second data record comprising second data associated with the vehicle; applying a first set of alignment rules to the first data record to generate an aligned first data record comprising the first data in a normalized format; applying a second set of alignment rules to the second data record to generate an aligned second data record comprising the second data in the normalized format; applying a first set of outcome rules to the aligned first data record to generate a first outcome record comprising a first predicted disposition of the vehicle based on the first data; applying a second set of outcome rules to the aligned second data record to generate a second outcome record comprising a second predicted disposition of the vehicle based on the second data; applying cross-vendor rules to the first outcome record and the second outcome record to generate a final disposition of the vehicle based at least in part on the first predicted disposition and the second predicted disposition; and providing a graphical user interface comprising the final disposition of the vehicle. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the first data record comprises at least one of a vehicle identification number of the vehicle or a license plate number associated with the vehicle. ### Claim 3 (depends on 1) The computer-implemented method of claim 1, wherein the first data record comprises at least one of photographic data, salvage yard data, license plate recognition data, vehicle crash data, state crash data, canvassing data, survey data, used car lot data, or global positioning system location data. ### Claim 4 (depends on 1) The computer-implemented method of claim 1, wherein the first data in the normalized format comprises at least one of a vehicle classification or a customer classification. ### Claim 5 (depends on 1) The computer-implemented method of claim 1, wherein the final disposition comprises at least one of an explanation for not resolving the unresolved recall notice, an indication that the unresolved recall notice is resolved, or a plan for resolving the unresolved recall notice. ### Claim 6 (depends on 5) The computer-implemented method of claim 5, wherein the explanation for not resolving the unresolved recall notice comprises at least one of the vehicle is destroyed, an owner of the vehicle will not cooperate, or the vehicle cannot be located. ### Claim 7 (depends on 1) The computer-implemented method of claim 1, wherein the cross-vendor rules comprise weighting the first predicted disposition and the second predicted disposition based at least in part on an age of the first data record and the second data record, respectively. ### Claim 8 A system for determining a disposition of a vehicle having an unresolved recall notice, the system comprising: one or more processors; and a memory device having stored thereon instructions that, upon execution by the one or more processors, cause the one or more processors to: receive a first data record from a first vendor, the first data record comprising first data associated with the vehicle; receive a second data record from a second vendor, the second data record comprising second data associated with the vehicle; apply a first set of alignment rules to the first data record to generate an aligned first data record comprising the first data in a normalized format; apply a second set of alignment rules to the second data record to generate an aligned second data record comprising the second data in the normalized format; apply a first set of outcome rules to the aligned first data record to generate a first outcome record comprising a first predicted disposition of the vehicle based on the first data; apply a second set of outcome rules to the aligned second data record to generate a second outcome record comprising a second predicted disposition of the vehicle based on the second data; apply cross-vendor rules to the first outcome record and the second outcome record to generate a final disposition of the vehicle based at least in part on the first predicted disposition and the second predicted disposition; and generate a graphical user interface comprising the final disposition of the vehicle. ### Claim 9 (depends on 8) The system of claim 8, wherein the first data record comprises at least one of a vehicle identification number of the vehicle or a license plate number associated with the vehicle. ### Claim 10 (depends on 8) The system of claim 8, wherein the first data record comprises at least one of photographic data, salvage yard data, license plate recognition data, vehicle crash data, state crash data, canvassing data, survey data, used car lot data, or global positioning system location data. ### Claim 11 (depends on 8) The system of claim 8, wherein the first data in the normalized format comprises at least one of a vehicle classification or a customer classification. ### Claim 12 (depends on 8) The system of claim 8, wherein the final disposition comprises at least one of an explanation for not resolving the unresolved recall notice, an indication that the unresolved recall notice is resolved, or a plan for resolving the unresolved recall notice. ### Claim 13 (depends on 12) The system of claim 12, wherein the explanation for not resolving the unresolved recall notice comprises at least one of the vehicle is destroyed, an owner of the vehicle will not cooperate, or the vehicle cannot be located. ### Claim 14 (depends on 8) The system of claim 8, wherein the cross-vendor rules comprise weighting the first predicted disposition and the second predicted disposition based at least in part on an age of the first data record and the second data record, respectively. ### Claim 15 A computer-readable memory having stored thereon instructions for determining a disposition of a vehicle having an unresolved recall notice that, upon execution by one or more processors, cause the one or more processors to: receive a first data record from a first vendor, the first data record comprising first data associated with the vehicle; receive a second data record from a second vendor, the second data record comprising second data associated with the vehicle; apply a first set of alignment rules to the first data record to generate an aligned first data record comprising the first data in a normalized format; apply a second set of alignment rules to the second data record to generate an aligned second data record comprising the second data in the normalized format; apply a first set of outcome rules to the aligned first data record to generate a first outcome record comprising a first predicted disposition of the vehicle based on the first data; apply a second set of outcome rules to the aligned second data record to generate a second outcome record comprising a second predicted disposition of the vehicle based on the second data; apply cross-vendor rules to the first outcome record and the second outcome record to generate a final disposition of the vehicle based at least in part on the first predicted disposition and the second predicted disposition; and generate a graphical user interface comprising the final disposition of the vehicle. ### Claim 16 (depends on 15) The computer-readable memory of claim 15, wherein the first data record comprises at least one of a vehicle identification number of the vehicle or a license plate number associated with the vehicle. ### Claim 17 (depends on 15) The computer-readable memory of claim 15, wherein the first data record comprises at least one of photographic data, salvage yard data, license plate recognition data, vehicle crash data, state crash data, canvassing data, survey data, used car lot data, or global positioning system location data. ### Claim 18 (depends on 15) The computer-readable memory of claim 15, wherein the first data in the normalized format comprises at least one of a part classification, a vehicle classification, or a customer classification. ### Claim 19 (depends on 15) The computer-readable memory of claim 15, wherein the final disposition comprises at least one of an explanation for not resolving the unresolved recall notice, an indication that the unresolved recall notice is resolved, or a plan for resolving the unresolved recall notice, and wherein the explanation for not resolving the unresolved recall notice comprises at least one of the vehicle is destroyed, an owner of the vehicle will not cooperate, or the vehicle cannot be located. ### Claim 20 (depends on 15) The computer-readable memory of claim 15, wherein the cross-vendor rules comprise weighting the first predicted disposition and the second predicted disposition based at least in part on an age of the first data record and the second data record, respectively.