Which features in GeoXploit help gain business benefits?
New to map based analysis? Using a simple mapping system or web service, but need more functionality?
GeoXploit has been specifically designed to offer all the power of a full geographical information system (GIS) but with lots of extra features to make it much easier for you to get started.
Drag & drop your own data from Excel or Access
Simply drag your own data file into the import wizard. A preconfigured setting will use a postcode column in your data to put your customers/depots/dealerships etc onto the map.
See boundary maps shade automatically
When you add your own data such as customer, call point, or patient data to GeoXploit, the boundaries instantly shade according to the density of your data. Or use the wizard to help you make your own maps.
Ready-to-use walking and driving speed settings
Just select walking or driving you can calculate routes and create travel time boundaries around your depots, stores, sales offices, home bases for engineers etc.
Identify nearest and colour your data accordingly
Update each record in your data with the name of the nearest using the fill with nearest function. Use suggested preset field names and each customer colours automatically according to nearest store, for example.
Analyse demographics
Use shaded maps, pie and bar charts to see trends in social class, age, household counts, non-residential & large user postal delivery points, for example.
Identify gaps and overlaps
Use pre-set translucent styles for catchment, graphically highlighting gaps and overlaps in your catchment areas.
Optimise sales/franchise/delivery areas etc
Use built in redistricting tool to balance the number of deliveries, prospects, sales etc and create efficient territories for your business.
Find out how GeoXploit can help you to realise your organisation's goals and get in contact with us. Whether you want to identify new prospects, analyse the coverage of your or your competitor's depots or outlets or balance territories we have over twenty years of experience with analysing geographical data.

