View source for 17933731. SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY simplified abstract (Salesforce, Inc.)

=SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY=


==Organization Name==

[[:Category:Salesforce, Inc.|Salesforce, Inc.]]


[[Category:Salesforce, Inc.]]

==Inventor(s)==

[[:Category:Parth Vijay Vaishnav of Newark CA (US)|Parth Vijay Vaishnav of Newark CA (US)]][[Category:Parth Vijay Vaishnav of Newark CA (US)]]

[[:Category:Mitchell Christensen of Grass Valley CA (US)|Mitchell Christensen of Grass Valley CA (US)]][[Category:Mitchell Christensen of Grass Valley CA (US)]]

==SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17933731 titled 'SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY

==Simplified Explanation==

The patent application describes an apparatus and method for asynchronous pricing, where pricing operations are performed on pricing data using a pricing engine, and the results are aggregated to generate a final pricing result.

* Asynchronous pricing service in addition to the pricing service
* First pricing operation on a first set of pricing data using a pricing engine
* Second pricing request at the asynchronous pricing service with a second set of pricing data
* Subdividing the second set of pricing data into portions and specifying pricing jobs for independent execution by the pricing engine
* Aggregating partial pricing results to generate a final pricing result

== Potential Applications ==
This technology could be applied in e-commerce platforms, financial services, and any other industry where complex pricing calculations are required.

== Problems Solved ==
1. Efficient processing of large sets of pricing data
2. Improved scalability of pricing operations

== Benefits ==
1. Faster pricing calculations
2. Increased accuracy in pricing results
3. Scalability for handling large volumes of pricing data

== Potential Commercial Applications ==
"Optimizing Pricing Operations in E-commerce Platforms"

== Possible Prior Art ==
Prior art in the field of pricing engines and asynchronous processing techniques may exist, but specific examples are not provided in the abstract.

== Unanswered Questions ==

=== How does the asynchronous pricing service handle errors or discrepancies in the partial pricing results? ===
The abstract does not mention how errors or discrepancies in the partial pricing results are managed and resolved.

=== What is the impact of using asynchronous pricing on overall system performance and resource utilization? ===
The abstract does not address the potential impact of implementing asynchronous pricing on system performance and resource utilization.


==Original Abstract Submitted==

Apparatus and method for asynchronous pricing. For example, some implementations include an asynchronous pricing service in addition to the pricing service. When performing a first pricing operation on a first set of pricing data, the pricing service performs operations on a pricing engine. In response to a second pricing request at the asynchronous pricing service with a second set of pricing data, the second set of pricing data is subdivided into a plurality of portions and a corresponding plurality of pricing jobs are specified, which are independently executed by the pricing engine to produce a corresponding plurality of partial pricing results. The asynchronous pricing service aggregates the partial pricing results to generate a second pricing result.



[[Category:G06Q30/02]]