IN2013MU03240A - - Google Patents
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- Publication number
- IN2013MU03240A IN2013MU03240A IN3240MU2013A IN2013MU03240A IN 2013MU03240 A IN2013MU03240 A IN 2013MU03240A IN 3240MU2013 A IN3240MU2013 A IN 3240MU2013A IN 2013MU03240 A IN2013MU03240 A IN 2013MU03240A
- Authority
- IN
- India
- Prior art keywords
- payoff
- strategy
- pricing strategy
- vendor
- client
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
Landscapes
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Feedback Control In General (AREA)
Abstract
Systems and methods for obtaining an optimal pricing strategy in a service engagement are disclosed. A model is created for the service engagement between a client and vendor. For the service engagement, a pricing strategy is selected. The pricing strategy is selected from one of a fixed strategy, a variable strategy and a combination thereof. Subsequent to selecting the pricing strategy, a client payoff associated with the client and a vendor payoff associated with the vendor are computed. The model is simulated to obtain a time series data. Based on the simulation, an optimal pricing strategy is obtained by calculating an optimizer payoff function. The optimizer payoff function is calculated by assigning relative weights to the client payoff and the vendor payoff. The optimal pricing strategy is obtained by altering the pricing strategy to maximize the optimizer payoff function.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN3240MU2013 IN2013MU03240A (en) | 2013-10-15 | 2013-10-15 | |
US14/514,603 US20150106163A1 (en) | 2013-10-15 | 2014-10-15 | Obtaining optimal pricing strategy in a service engagement |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN3240MU2013 IN2013MU03240A (en) | 2013-10-15 | 2013-10-15 |
Publications (1)
Publication Number | Publication Date |
---|---|
IN2013MU03240A true IN2013MU03240A (en) | 2015-07-03 |
Family
ID=52810448
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
IN3240MU2013 IN2013MU03240A (en) | 2013-10-15 | 2013-10-15 |
Country Status (2)
Country | Link |
---|---|
US (1) | US20150106163A1 (en) |
IN (1) | IN2013MU03240A (en) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11367091B2 (en) | 2016-12-15 | 2022-06-21 | Nielsen Consumer Llc | Methods and apparatus to identify retail pricing strategies |
CN108765112A (en) * | 2018-05-02 | 2018-11-06 | 平安科技(深圳)有限公司 | Equity profit and loss meter extracting method, terminal and storage medium |
CN111210262B (en) * | 2019-12-25 | 2023-10-03 | 浙江大学 | Spontaneous edge application deployment and pricing method based on incentive mechanism |
CN113554459B (en) * | 2021-07-15 | 2024-02-13 | 北京科技大学 | Dynamic task allocation method and device in mobile crowd sensing network |
CN114418620B (en) * | 2021-12-29 | 2024-04-26 | 东南大学 | Distributed cloud and fog network resource pricing method for mobile block chain system |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100088158A1 (en) * | 2007-03-16 | 2010-04-08 | Dale Pollack | System and method for providing competitive pricing for automobiles |
US20120290361A1 (en) * | 2008-11-21 | 2012-11-15 | Eric Hills | System and method for efficiently estimating a reliable price elasticity of demand using the joint demand model |
US20120253908A1 (en) * | 2011-04-04 | 2012-10-04 | Myworld, Inc. | Commerce System and Method of Controlling the Commerce System Using Personalized Shopping List and Trip Planner |
WO2012064553A1 (en) * | 2010-11-10 | 2012-05-18 | Optimal Effect Inc. | System and method for optimizing marketing effectiveness |
US20120284086A1 (en) * | 2011-05-04 | 2012-11-08 | Knowledge Support Systems Ltd. | Fuel store profit optimization |
US20130166355A1 (en) * | 2011-12-23 | 2013-06-27 | Tata Consultancy Services Limited | Dynamic multi-dimensional and multi-view pricing system |
EP2626827A1 (en) * | 2012-02-10 | 2013-08-14 | Tata Consultancy Services Limited | Product pricing in e-commerce |
US20140344020A1 (en) * | 2013-05-14 | 2014-11-20 | Bank Of America Corporation | Competitor pricing strategy determination |
US20150006267A1 (en) * | 2013-06-28 | 2015-01-01 | International Business Machines Corporation | Designing price incentives in a network with social interactions |
US20150081392A1 (en) * | 2013-09-17 | 2015-03-19 | Knowledge Support Systems Ltd. | Competitor prediction tool |
-
2013
- 2013-10-15 IN IN3240MU2013 patent/IN2013MU03240A/en unknown
-
2014
- 2014-10-15 US US14/514,603 patent/US20150106163A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
US20150106163A1 (en) | 2015-04-16 |
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