17933731. SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY simplified abstract (Salesforce, Inc.)
Contents
- 1 SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEM AND METHOD FOR ASYNCHRONOUS PRICING TO IMPROVE PRICING SERVICE SCALABILITY
Organization Name
Inventor(s)
Parth Vijay Vaishnav of Newark CA (US)
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.
