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BigMachines, now Oracle Configure, Price, Quote (CPQ), was a software company founded in 2000 by Godard Abel and Christopher Shutts, which was acquired by Oracle in 2013. The software is designed to integrate with enterprise resource planning (ERP), customer relationship management (CRM), and other business systems to help companies automate the sales process.
Configure, price, quote (CPQ) software helps sellers quote complex and configurable products. [1] An example could be a maker of heavy trucks. If the customer chooses a certain chassis (the base frame of a motor vehicle), the choice of engines may be limited, because certain engines might not fit a certain chassis.
BMC Software, Inc. is an American multinational information technology (IT) services and consulting, and Enterprise Software company based in Houston, Texas. Gartner has positioned BMC as a Leader for the eighth consecutive year in Gartner's 2021 Magic Quadrant for IT Service Management Tools for its BMC Helix ITSM solution.
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ServiceNow, Inc. is an American software company based in Santa Clara, California, that develops a cloud computing platform to help companies manage digital workflows for enterprise operations. Founded in 2003 by Fred Luddy, ServiceNow is listed on the New York Stock Exchange and is a constituent of the Russell 1000 Index and S&P 500 Index. [2]
NetSuite Inc. is an American cloud-based enterprise software company that provides products and services tailored for small and medium-sized businesses (SMBs) including accounting and financial management, customer relationship management, inventory management, human capital management, payroll, procurement, project management and e-commerce software.
Callidus Software Inc. As of May 2017. [2] [3] The SAP Sales Cloud, formerly CallidusCloud, is an enterprise software and software as a service (SaaS) company headquartered in Dublin, California. The company markets services for sales effectiveness, sales management and sales execution ( CPQ, CLM) software and services.
Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' ).
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