OnTheMap is an advanced cloud-based geomarketing application that allows you to intercept potential markets in real time, analysing the target location and predicting commercial performance. The application was designed and built around the needs of companies with the aim of optimising their presence in the location in question. It is able to predict the commercial performance of a new point of sale on the basis of historical and contextual data.
Google Maps functionality combined with Noovle’s technological and integration skills developed for geospatial projects
Geocoded information provides an estimate of potential revenue
Algorithms tailored to the customer’s specific analysis and forecasting needs
Google Cloud computing power for real-time analysis
A fully customisable Cloud tool tailored for your business
Consolidated methodology based on continuously updated predictive models, also through Data Mining and Market Analysis
Algorithms tailored to specific customer needs
Native integration with Google Maps
Google Cloud Platform guarantees data security
Knowing the location
By defining the geographical area of interest, you can find out the characteristics of supply and demand: OnTheMap extracts detailed information on target consumption and competitors, also to assess market potential.
By defining the geographic area of interest you can learn about the characteristics of supply and demand with detailed information on attackable consumption and competitors, also to assess market potential.
The combined reading of the data, through specific income indices, provides an indication of the development potential of the target area.
Analysis of the value of household consumption for different categories of goods and services is essential to identify the correct target and customize the offer to the customer’s needs.
With the predictive algorithms and parametric values of the advanced geomarketing model, it is possible to analyze the territory through a statistical-gravitational model capable of defining the basin of attraction of the individual store by estimating its expected turnover as a whole and in the individual components of merchandise offerings.
Combined reading of the data provides an idea of the development potential of the area in question, while the application of specific predictive algorithms provides an estimate of the foreseeable commercial performance for the company in the specific context.
The predictive algorithms and parametric values of the advanced geomarketing model allow the location to be analysed using a statistical-gravitational model that is capable of defining the catchment area of the individual sales outlet and estimating the expected turnover as a whole and for the individual components of the product range.