Helping Businesses to make better decisions in less time with less effort.

Fox Optimization builds low-cost, high-value, easy-to-use SaaS applications that give users the power of Prescriptive Analytics in an easy to use format. Our applications, such as our Staff Fox staff scheduling application, consider your key business objectives, unique decision variables, and constraints, to create optimal schedules.

Our models are based on using math programming solvers and cutting-edge heuristics to search through billions of possible choices, quickly evaluating each possible scenario, presenting you with one or more recommended solutions. What before could take hours or even days to do (such as a production plan or staffing schedule) now can take seconds to minutes.

Have more time to focus on your business.

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Have more time to focus on your business.

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Prescriptive Analytics is focused on identifying the best decision to make in a particular situation given an objective (such as minimizing labor costs or maximizing revenue), the decision variables you control (such as staffing levels or assignment) and a series of business constraints (such as having a given level of staffing available to meet a given set of patients needing treatment).

Global companies like Federal Express, SAP and McDonalds all use Prescriptive Analytics to help them make better staffing, production and vehicle routing (among many other) decisions in less time and with less effort than would ever be possible without these tools. However, until today these tools were out of the reach of smaller businesses given the need to build custom models and applications for each customer from scratch, and then buy the dedicated solvers needed for the solutions.

We have turned that model on its head by building applications that target specific Predictive Analytics problems in a way that multiple businesses can take advantage of them without having to build from scratch, and then delivering that capability as a SaaS solution which allows us to better leverage the back-end infrastructure (such as the solvers) to further drive down costs.

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