Avalara, Inc.

Rahul Aggarwal

Gregory T Kavounas

Mark Janzen

Nikki Nash

Aaron Lee Robles

Bilkay Rose

Hemendra Pal

An Online Software Platform (OSP) may receive a first dataset from a remote client device, and compute an estimated resource, from the first dataset and also per stored digital rules. The OSP may then communicate an aspect of the resource to the remote client device and receive a confirmation of the first dataset. The OSP may then process the first dataset, for matching it with another dataset, either internally or by outsourcing. Either way, the OSP may establish that the first dataset has been matched with a compatible second dataset. The OSP may then input a resource for the first dataset, which is determined according to stored digital rules. The OSP may further create one or more notifications and documents about the matching and the resource, and make them available to the remote client device or even to the device of another remote entity.

Determining resource per digital rules for first dataset in context of matching it with compatible second dataset

Systems and methods electronically generate sample dots, produce resources associated with the dots and estimate a resource for a target point from known resources of dots near the target point based on client side version of digital rules, cataloged data and coarse values previously received from the online service platform. A client receives cataloged data of a cataloged domain in which the cataloged data includes data representing a plurality of dots and a respective computed resource value for each of the dots and each dot of the plurality of dots represents a point in the cataloged domain. In response to confirming a target point is in the cataloged domain, the system discovers a closest one or more dots to the target point based on the cataloged data, estimates a statistic for a resource for the target point based on the respective computed resource values of the closest one or more dots, stores the estimated statistic in a memory, and produces the local estimate based on the estimated statistic.

Computation module configured to estimate resource for target point from known resources of dots near the target point

Systems and methods electronically produce a local estimate of less-than-critical resources based on a client side version of digital rules and a coarse values received from an online service provider. Although using the client side version of digital rules and the coarse values may not include all the parameters and values needed to provide a fully accurate estimate of the resource, the ability to locally estimate resources without having to make network calls to the online service provider, such as when there are unfavorable conditions or latency of the network, imminent overloading of the online service provider or other operating conditions or demands on the online service provider preventing it from producing a timely more accurate estimate, provides a faster and more efficient way of obtaining a potentially useful estimate of resources.

Coarse values for estimating less-than-critical resources

Systems and methods electronically produce a local estimate of less-than-critical resources based on a client-side version of digital rules and coarse values received from an online service provider. Although using the client-side version of digital rules and the coarse values may not include all the parameters and values needed to provide a fully accurate estimate of the resource, the ability to locally estimate resources without having to make network calls to the online service provider, such as when there are unfavorable conditions or latency of the network, imminent overloading of the online service provider or other operating conditions or demands on the online service provider preventing it from producing a timely more accurate estimate, provides a faster and more efficient way of obtaining a potentially useful estimate of resources.

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Pune, India

Rahul Aggarwal