Avalara. has been granted a patent for a computer system that processes datasets to access a strings memory. This system retrieves and executes code strings associated with source and destination locations, ensuring compliance with applicable rules, and facilitates notifications regarding the generated resources. 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. Avalara's grant share as of July 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Automated rule-based resource generation from location data

Source: United States Patent and Trademark Office (USPTO). Credit: Avalara Inc

The patent US12061879B1 describes a computer system designed to process datasets received from a remote computer over a network. The system includes one or more processors and a non-transitory computer-readable storage medium that contains instructions for various operations. These operations involve parsing datasets to extract a base value, source and destination location datapoints, and item codes. The system accesses a strings memory to retrieve code strings associated with the parsed data, which implement rules governing the transition of items between defined locations. The execution of these code strings generates resources that comply with the specified rules, and notifications regarding these resources can be sent to output devices or other systems.

The claims further elaborate on the system's capabilities, including the ability to handle geographic domains, utilize three-dimensional data, and incorporate various forms of location data such as street addresses and geographic coordinates. The system can also convert location datapoints into lookup codes for efficient querying. Additionally, it supports the generation of multiple code modules from different code strings, allowing for the application of distinct rules to the same dataset. The operations may involve summing resources generated from different rules to create composite resources, which are then stored in a records memory along with their associated rule identifiers. This comprehensive approach enables the system to manage complex data interactions effectively while ensuring compliance with predefined operational rules.

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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.