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公开(公告)号：US20210241329A1
公开(公告)日：2021-08-05
申请号：US16779373
申请日：2020-01-31
Applicant: salesforce.com, inc.
Inventor： Mitchell Christensen , Parth Vijay Vaishnav , Wei Gao , Binyuan Chen
IPC: G06Q30/02
Abstract: Embodiments are directed to a pluggable architecture for performance of pricing operations. An embodiment of a storage medium includes instructions for installing multiple pricing methods at a pricing service including a pluggable architecture for pricing methods, each pricing method including a set of pricing functions; receiving a pricing request for a sales transaction including one or more sales items, the pricing request including a pricing context for each sales item; and performing a price calculation for the sales transaction, including resolving a pricing method for each sales item, applying the set of pricing functions for the resolved pricing method for each sales item, the application of the set of pricing functions being based at least in part on the pricing context for the sales item, calculating a price for each sales item based upon an outcome of the pricing functions, and aggregating the calculated prices for the sales items.
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Patent Agency Ranking
公开(公告)号：US20210241300A1
公开(公告)日：2021-08-05
申请号：US16779378
申请日：2020-01-31
Applicant: salesforce.com, inc.
Inventor： Parth Vijay Vaishnav , Mitchell Christensen
Abstract: Embodiments regard pricing operations utilizing a uniform abstract sales transaction model. An embodiment of one or more storage mediums include instructions for receiving a pricing request for pricing of one or more sales items, the pricing request including a sales transaction, the sales transaction being a data structure that includes an input parameter, the input parameter including input data; directing the sales transaction to a pricing engine for the sales operation; performing pricing for each sales item of one or more sales items based on the sales transaction to generate a pricing output; generating an output parameter utilizing the input parameter, and inserting the pricing output into the output parameter; and generating a pricing response including the sales transaction with the output parameter, the sales transaction data structure being unchanged by the pricing engine.
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公开(公告)号：US20210406936A1
公开(公告)日：2021-12-30
申请号：US16910436
申请日：2020-06-24
Applicant: salesforce.com, inc.
Inventor： Mitchell Christensen , Parth Vijay Vaishnav
Abstract: Preservation of price calculation data in performance of price calculation operations is described. An example of a system includes one or more processors, a memory, an API to receive requests, a pricing service to generate price calculations, and price data functions to perform operations on price calculation data, wherein in response to a request for price calculation for a first transaction the system is to generate a unique transaction identifier; record context data for the price calculation; calculate a pricing result for each of one or more sales items and collect price calculation data for each sales item; aggregate the pricing results to generate a final pricing result, generate a price calculation data set for the first transaction including at least the transaction identifier, the context data, and the price calculation data for the sales items, and store the generated price calculation data set in the memory.
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公开(公告)号：US20210241330A1
公开(公告)日：2021-08-05
申请号：US16779383
申请日：2020-01-31
Applicant: salesforce.com, inc.
Inventor： Parth Vijay Vaishnav , Mitchell Christensen
Abstract: Embodiments regard pricing operation using artificial intelligence for price adjustment. An embodiment of one or more mediums include instructions for receiving a request at a pricing platform for pricing of sales items in a sales transaction, including a first sales item; generating a price for the first sales item; and determining whether a dynamic price adjustment function is enabled for the first sales item, and, if so, performing the dynamic adjustment price function for the first sales item, including accessing a trained neural network trained for price adjustments based at least in part on training data including news data from one or more sources and data regarding pricing, receiving a dynamic price adjustment for the first sales item from the trained neural network, and applying the dynamic price adjustment to the generated price to produce an adjusted price for the first sales item.
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公开(公告)号：US20210241328A1
公开(公告)日：2021-08-05
申请号：US16779340
申请日：2020-01-31
Applicant: salesforce.com, inc.
Inventor： Mitchell Christensen , Parth Vijay Vaishnav , David Clark , Wei Gao
Abstract: Pluggable pricing modules with functional extension points. A plurality of pricing methods are installed with a pricing service. The pricing service has a pluggable architecture to accept pricing methods including a set of pricing functions, and one or more extension points that provide programmatic hooks within an operational flow of the pricing service to provide optional interfaces to functional modules external to the pricing service. In response to a pricing request for a sales transaction, the pricing request including a pricing resolving selected pricing method for each sales item of the one or more sales items from the plurality of pricing methods. At least one of the one or more extension points are used to call an external functional module to interact with the operational flow of the pricing service. Aggregated results are provided to the source of the pricing request.
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公开(公告)号：US20210241301A1
公开(公告)日：2021-08-05
申请号：US16779381
申请日：2020-01-31
Applicant: salesforce.com, inc
Inventor： Mitchell Christensen , Parth Vijay Vaishnav
Abstract: Embodiments regard determination and optimization of pricing plans for sales transactions. An embodiment of one or more storage mediums include instructions for receiving a request for pricing of a sales transaction including one or more sales items; storing the sales transaction in memory for analysis; performing a static analysis of the sales transaction, including scanning the received sales transaction in memory to analyze structure and content of the sales transaction; generating an initial pricing plan for the sales transaction based on the static analysis; commencing a price calculation for the sales transaction; identifying one or more inefficiencies in the initial pricing plan during the price calculation; and dynamically modifying the initial pricing plan based at least in part on the identified one or more inefficiencies to improve performance of pricing for the sales transaction.
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