Analyze Information of Your Points of Sale and Customers in Geographical Form
In this article we will use the analysis capability of our CRM, especially the GIS module in connection with Virtual Modeler to analyze sales and customer statistics geographically.
In the CRM there is a lot of very important information about customers, points of sale, products sold, business opportunities and much more critical information to improve the commercial performance of each company. To this information we can add other information available in Virtual Modeler Server, such as statistical and census information. With this set of data we can perform analyzes such as the following:
- Analyze the best areas to open a new branch or franchise
- Determine if the different zones are underutilized or not correctly distributed
- Analyze the density of customers and the influence ranges of each point of sale
- Understand patterns of geographical distribution and consumption of different products and services
- If you have data, you can analyze the geographical variables of the competition
Analysis of Commercial Indicators
Thanks to the flexible and powerful architecture of Virtual Modeler Server </ em> </ strong> and the connector for demographic information, sociodemographic metrics can be used to compare with company-specific indicators.
With this technology you can use demographic variables such as:
- Population Density (Next Illustration)
- Income level (Next illustration)
- Average age of the population
- Level of building construction
- Educational level
Among others and compare them with indicators of the company, such as:
- Sales per sales point/branch/franchise or zone
- Utility by area
- Delivery times
- Complaints, complaints, quality of customer service
- Competition coverage
Location Analysis and Geographical Coverage of Franchises
In order to carry out these analyzes we can base ourselves on demographic information as described in the previous point and detect areas where there is high population density and few sales points (or of insufficient size or scope), other demographic data can also be analyzed as a level of income, level of study, quality of housing to determine the economic segment of potential customers of a certain place.
In Figure 3 you can see a map of heat or density, where you can analyze the density of a certain variable, for example, in this case you can analyze the number of customers or the purchase volume of each of them. Other variables can also be analyzed, such as the number of complaints or changes in products due to poor quality.
Through this technology it is also possible to analyze indicators or composite ratios that facilitate the visualization of complex information and help the correct decision making. For ex. In Figure 6 below, you can see the indicator “Density of Sales per Dweller” that is calculated as a combination of the amount of sales that the company has in each zone, taking into account the number of people and the level of income of each zone.
From the general to the particular
In addition to the capabilities of analysis and general and high-level visualization, Virtual Modeler also allows you to reach the operational and particular detail necessary to make quick and efficient decisions. By zooming the map you can obtain details of individual data, this way it is possible, during the same analysis and without losing the focus, to obtain a general view of the situation on a large scale, as well as detailed information of each case and particular situation (see Figure 7). All this without losing sight of the security of the data and the access allowed for each role of the company.