Avalara‘s patent involves a service engine that identifies potential tax compliance issues for entities in various jurisdictions. The method includes receiving requests from remote client devices, determining conditions for invoking services, and transmitting data to a specialized service engine for real-time processing and compliance notifications to clients. GlobalData’s report on Avalara gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Avalara, was a key innovation area identified from patents.
Cloud-based erp system for real-time tax compliance data
A recently granted patent (Publication Number: US11928744B1) outlines a method for a cloud-based enterprise resource planning (ERP) system to receive electronic requests from remote network client devices of a specialized software platform. The ERP system integrates into the networked technical environment of the software platform by receiving real-time preferences regarding conditions for invoking electronic services. These conditions are stored in an electronic database accessible to the ERP system and client devices. The ERP system then determines if the conditions are met and automatically transmits the requests to a specialized service engine for processing. The service engine performs cloud computing using multiple processors to aggregate data, generate electronic records, and determine if data values meet specified thresholds, transmitting this information back to the client devices in real-time.
Furthermore, the method includes generating records of geographic apportionment of aggregated data for different geographical areas and providing information on potential nexus of entities associated with the client devices based on this data. The system stores rules for various geographical areas, compares entity data against these rules, and generates information on potential nexus for each area. Notifications are then sent to client devices, alerting them of the potential nexus. Additionally, the method focuses on improving network efficiency by receiving data from client devices, aggregating and apportioning it geographically, storing preference data, detecting conditions, and determining if data values meet specified thresholds. Notifications are then sent to client devices based on these determinations, ensuring efficient processing and transmission of specialized data to a diverse range of client devices.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
