President, CEO at AutoAlert, Inc., Owner at AutoAlert, Inc.
Location:
Orange County, California Area
Industry:
Computer Software
Work:
AutoAlert, Inc. since Sep 2002
President, CEO
AutoAlert, Inc. since Aug 2002
Owner
Education:
University of Washington, Michael G. Foster School of Business 1983 - 1987
MBA, Banking/Finance
Brigham Young University
Skills:
Automotive Sales Management Account Management Training Sales Customer Retention Automotive Aftermarket Coaching Inventory Management New Business Development Team Building Customer Satisfaction Automobile Online Marketing Sales Process Dealers Digital Marketing Selling B2B CRM Operations Management Retail Sales Operations Market Analysis PPC Parts Mobile Marketing Email Marketing Vehicles SEM Marketing Strategy Business Strategy Customer Service Negotiation Leadership Strategic Planning Start-ups Team Leadership Profit Public Speaking Salesforce.com E-commerce Pricing Competitive Analysis Marketing Management Strategy Lead Generation Online Advertising Business Planning
Jeffrey Stuart Cotton - Laguna Hills CA, US Boyd Hodson Warner - Laguna Hills CA, US
International Classification:
G06Q 30/02
US Classification:
705 729
Abstract:
The present disclosure describes computer hardware, software, systems and methods for evaluating the effect of planned, future or hypothetical incentive programs on a financial arrangement that could be offered to customers such as automobile customers. Computer hardware and modules are disclosed that can store, receive, display, or calculate customer data corresponding to financial terms of current agreements of one or more customers and hypothetical incentive data, store, receive, display, or generate potential customer pools that include customers for which a replacement product and a replacement financial agreement has financial terms substantially similar to financial terms of a current product and current financial agreement, and generate a summary report that includes the customers in the potential customer pool.
System And Method For Assessing And Managing Financial Transactions
Jeffrey S. Cotton - Laguna Hills CA, US Boyd Warner - Laguna Hills CA, US
Assignee:
AutoAlert, Inc. - Irvine CA
International Classification:
G06Q 30/06 G06Q 40/02
US Classification:
705 141, 705302, 705 38
Abstract:
A method and system is provided which can analyze customer data, including information about current products and agreements of the customer. The customer data can be used to predict various unknown parameters, including product usage data. The customer data and predicted data can be used to generate various alert conditions. For example, an alert can be generated when a product's predicted usage data for a future time indicates that usage terms of a related agreement will be exceeded. Also for example, an alert can be generated when a replacement product or agreement can be provided to a customer at an attractive price. An interactive deal sheet for an alert can be generated. The interactive deal sheet can allow a user to view various replacement products and agreements, and to perform additional calculations and comparisons based on inputted parameters.
Visual Discovery Tool For Automotive Manufacturers With Network Encryption, Data Conditioning, And Prediction Engine
- Irvine CA, US Boyd Hodgson Warner - Laguna Beach CA, US Thomas A. Walls - Overland Park KS, US Levko Zhuravchak - Mission Viejo CA, US Dan Christian Milius - Huntington Beach CA, US Jeff Keith Faulkner - Francis UT, US Mike Phillip Dullea - Kansas City MO, US
A visual discovery tool for automotive manufacturing with network encryption, data conditioning, and prediction can include an extraction device configured to receive data records from application-specific file source databases. The tool can further include a vehicle alert database that receives the vehicle records from the plurality of extraction databases. The visual discovery tool can include at least one hardware processor in communication with the extraction device and the vehicle alert database. The tool can be configured to selectively restrict access to an interactive display based on whether a client device receives authorization credentials.
- Kansas City MO, US Boyd Hodson Warner - San Clemente CA, US
International Classification:
G06Q 30/02
Abstract:
The present disclosure describes computer hardware, software, systems and methods for evaluating the effect of planned, future or hypothetical incentive programs on a financial arrangement that could be offered to customers such as automobile customers. Computer hardware and modules are disclosed that can store, receive, display, or calculate customer data corresponding to financial terms of current agreements of one or more customers and hypothetical incentive data, store, receive, display, or generate potential customer pools that include customers for which a replacement product and a replacement financial agreement has financial terms substantially similar to financial terms of a current product and current financial agreement, and generate a summary report that includes the customers in the potential customer pool.
Visual Discovery Tool For Automotive Manufacturers With Network Encryption, Data Conditioning, And Prediction Engine
- Irvine CA, US Boyd Hodson Warner - Laguna Beach CA, US Tom Andrew Walls - Overland Park KS, US Levko Zhuravchak - Mission Viejo CA, US Dan Christian Milius - Huntington Beach CA, US Jeff Keith Faulkner - Francis UT, US Mike Phillip Dullea - Kansas City MO, US
A visual discovery tool for automotive manufacturing with network encryption, data conditioning, and prediction can include an extraction device configured to receive data records from application-specific file source databases. The tool can further include a vehicle alert database that receives the vehicle records from the plurality of extraction databases. The visual discovery tool can include at least one hardware processor in communication with the extraction device and the vehicle alert database. The tool can be configured to selectively restrict access to an interactive display based on whether a client device receives authorization credentials.
Visual Discovery Tool For Automotive Manufacturers With Network Encryption, Data Conditioning, And Prediction Engine
- Irvine CA, US Boyd Hodson Warner - Laguna Beach CA, US Tom Andrew Walls - Overland Park KS, US Levko Zhuravchak - Mission Viejo CA, US Dan Christian Milius - Huntington Beach CA, US Jeff Keith Faulkner - Francis UT, US Mike Phillip Dullea - Kansas City MO, US
A visual discovery tool for automotive manufacturing with network encryption, data conditioning, and prediction can include an extraction device configured to receive data records from application-specific file source databases. The tool can further include a vehicle alert database that receives the vehicle records from the plurality of extraction databases. The visual discovery tool can include at least one hardware processor in communication with the extraction device and the vehicle alert database. The tool can be configured to selectively restrict access to an interactive display based on whether a client device receives authorization credentials.
- Irvine CA, US Boyd Hodson Warner - San Clemente CA, US
International Classification:
G06Q 30/02
US Classification:
705 731
Abstract:
The present disclosure describes computer hardware, software, systems and methods for evaluating the effect of planned, future or hypothetical incentive programs on a financial arrangement that could be offered to customers such as automobile customers. Computer hardware and modules are disclosed that can store, receive, display, or calculate customer data corresponding to financial terms of current agreements of one or more customers and hypothetical incentive data, store, receive, display, or generate potential customer pools that include customers for which a replacement product and a replacement financial agreement has financial terms substantially similar to financial terms of a current product and current financial agreement, and generate a summary report that includes the customers in the potential customer pool.
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