Applied Predictive Technologies, Inc.

Anthony Dean Bruce

Mark James D'Agostino

Genevieve Williams

Dacheng Zhao

Zhichao Han

Corey Christian Vaudo

James Manzi

Andrew Fedorchek

Scott Howard Setrakian

Bradley Philip Burns

Timothy Patrick O'Reilly, Jr

David William Kreps

Arvind Bhusnurmath

Jim Manzi

A system, method, and article of manufacture is disclosed for determining optimal parameter settings for a business initiative testing model used for testing initiatives for business locations included in a business network. In one aspect, a method is disclosed that includes defining a first test type of a business initiative testing model having a set of parameter settings. Each parameter setting may include a set of one or more parameter setting options. The method may also include performing virtual tests on a set of virtual test sites based on the defined test type. Each virtual test site may reflect a selected business location in the business network. Also, the method may include determining a set of optimal parameter settings for the first test type of the business initiative testing model based on results from the virtual test. Moreover, the method may include configuring the business initiative testing model using the optimal parameter settings from the set for the first test type to test a business initiative to apply to the business network.

Methods, systems, and articles of manufacture for determining optimal parameter settings for business initiative testing models

The embodiments the systems and methods described herein attempt to optimally select a group or portfolio of control locations for each test location. The optimization can be generally performed in two steps. First, an objective function is defined that scores the similarity of a set of control locations averaged together. Second, given the large number of potential solutions, a computationally-feasible algorithm that identifies an optimal set of control locations and is based on the objective function is executed. In order to obtain the optimal set of control locations in an efficient manner for use in business analytics, the algorithm may use a hill-climbing algorithm. As a result, an optimization function can be incrementally improved in an efficient manner.

System and method of portfolio matching

The systems and methods perform simulations in a systematic way as to minimize redundant data fetching and computations and reduce run-time. The systems and methods can cache information that can be used across multiple control strategies and speed up the process of simulation by several orders of magnitude. A business analyst can first generate a set of matching criteria that meets business intuition for the specific initiative and set of stores under analysis. A systematic approach in building similar sites models from control strategies that are combinations of this set of matching criteria can be applied to minimize data extraction and processing. The similarity function allows for the distance of each criterion to be combined linearly. Data for each matching criteria only needs to be extracted once but can be used in all control strategies that uses that criteria.

Systems and methods for control strategy criteria selection

A system, method, and article of manufacture is disclosed for developing and managing a the test of a business initiative for a business network including business locations. In one aspect of the invention, a method is performed that includes performing a process for developing a business initiative to apply to the business network and performing a process for designing a test for the initiative. Further, the method includes executing the initiative at a set of test sites in accordance with the designed test, each test site corresponds to a selected business location in the business network. Also, performance results of the executed initiative may be analyzed and a rollout plan is created for implementing the initiative at a first set of business locations.

Methods, systems, and articles of manufacture for developing, analyzing, and managing initiatives for a business network

A system, method, and article of manufacture is disclosed for analyzing a business initiative for a business network including business locations separated into control group sites and test sites that have implemented the business initiative for a predetermined test period. Each of the sites have an associated set of attributes reflecting various characteristics corresponding to the respective site, such as geographical location, size of business location, number of employees, etc. In one aspect of the invention, a process is performed that collects a performance value for each of the test and control group sites reflecting a level of performance of each respective sites during the test period. The performance of the test sites is then measured relative to the performance of the control sites over the same time period. The process may segment the performance values for each test site attribute to identify those attributes that have a greater impact on the performance values of the test sites than other attributes. Further, the process configures a model for predicting the performance values of the test sites using the identified attributes and determines whether the model accurately predicts these performance values. If so, the process applies the model to the non-tested sites to predict the performance values of these sites. Based on the predicted performance values, a user may select one or more of the sites to implement the business initiative.

Methods, systems, and articles of manufacture for analyzing initiatives for a business network

Methods, system, and articles of manufacture for developing analyzing, and managing initiatives for a business network

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Washington, DC, United States of America

Anthony Dean Bruce