A simple interface allows you a wide range of modeling options for alternative network scenarios and build-out strategies
	Operates with any point of supply/demand database utilizing any of the popular GIS formats including Oracle Spatial
	Analytic independence allows you to use any demand driver from any demographic provider or modeling vendor
	Geography independence means one modeling tool regardless of what country or continent you are growing your network in
	Whether you are adding one location or one hundred, locally or nationally, no network optimization tool is faster or more accurate
	Powerful formula editors allow for an unlimited range of distance and competitive decay functions
	User defined fixed, new and competitive location functions and mutation controls allows for highly accurate network results
	Hybrid approach that includes localized balancing optimizes each node in the network once the overall network is optimized

Geonetx is a new approach to a persistent business problem. It rapidly and accurately answers several questions like 1) If I add 4 stores to the Atlanta market, where should I put them knowing my customers will not travel more than 4 miles to get to one, 2) If I have 18 facilities in the Denver DMA and 3 of the leases are expiring and I need 3 additional stores put into operation and I compete with ABC Company with 21 locations, what should my network look like? 3) I have 67,000 ATM Card holders in Southern New Jersey. How many ATM locations do I need if I want to ensure that my most active ATM users and prospects never have to travel on average more than 1 mile to one of my ATM's? 4) I know I need roughly 4,000 loyal customers per store to be profitable. How many stores can I put into Dade County knowing how my competitors affect my loyal customers? 5) We service 5,300 retail outlets in Southern California and we have outgrown our distribution facility. If I increase my total warehouse space by 25% across 3 smaller facilities, where should they be located to reduce my average distance to any customer by 40%?

Unlike many firms in the predictive analytics and site location modeling market space, the Geonetx solution solves a wide array of location/allocation problems with a 'transparent box' approach, so you understand what it does, how it does it, and how it can be applied to your company's unique requirements. You control all the inputs and run the application locally so that your results can be delivered and tested in real time and without any additional cost. Geonetx speed and flexibility is changing the way retail/real estate professional analyze markets from multiple angles, thus enabling faster execution on the very best opportunities.

About Geonetx^TM

Geonetx requires input variables that define the supply/demand parameters, the distance/decay features and the mutations that impact results

Supply Points - The potential locations file defines the x/y coordinates the model will use to calculate optimal locations. It can consist of intersections, available properties that meet your leasing criteria, existing networks, centroids of grid cells, or any census or postal geography. The larger the number of potential points of supply, the more calculations the model will need to process and the more optimal the final network.

Supply points will also be defined should an existing network need to be fixed for market in-fill applications. The potential locations file and the existing supply points do not need to be in the same file or format.

Demand Points - The x/y coordinates represent Points of demand from where the demand for a good or service originates. The demand points can be represented by customer/prospect locations or centroids of trade areas, grid cells, census or postal geography. The demand points do not need to be in the same file or format as the supply point file.

The demand variable must be appended to the point of demand file, and it can contain any raw, calculated or modeled value(s). Multiple demand variables will allow users to test a variety of network scenarios.

Competitor Points - When running a network model that includes competitive influences, the competitive file must be represented by an x/y coordinate. While this file is most likely to reflect the locations of competitors, it may also be centroids of trade areas, grid cells, advertising areas, census or postal geography.

The competitive decay formula allows users to specify the positive or negative impact the competitive file has on calculation of optimal points of supply. The variables must be contained in the same competitive location file and can include attributes such as square footage, sales volumes, customer satisfaction scores, advertising expenditures etc. The formula editor gives users the ability to alter the impact of each individual competitor based on the available attributes.

Mutations - Users define the number of attempts, or mutations, they desire the selected model to run against in an effort to isolate the optimal network requested. The greater the number of mutations, the longer the model will run and the more optimized the network will be.