Prescriptive Analysis Prototype

Rulex, of which Gruppo SIGLA is a partner, provides a data mining software platform that allows you to perform prescriptive analysis through its revolutionary engine called Logic Learning Machine. Unlike simple predictive analysis, prescriptive analysis allows the generation of a comprehensible data model, thus providing the Customer with an indication of the corrective or preventive actions to be undertaken to achieve the desired results. Prescriptive models explain the motives of a certain event through a set of rules that can be used immediately, and allow - accordingly - data-driven decisions, based on automatic learning algorithms.

The fields of application are many. Among them, for example:

  • Preventive maintenance
  • Network Optimization
  • Fault Detection
  • Analysis of inventory losses (shrinkage)
  • Customer Behavior
  • Assortment optimization
  • Automatic Discounts

For our prestigious Customer, leader in the marketing of electricity and gas, a project has been acquired that involves building a model to distinguish good paying customers from bad payers, and consequently to consider credit risk exposure. The model, identified with Rulex, is used for two purposes:

  • Provide the risk profile for new Customers
  • Identify the characteristics of a Customer, in addition to the obvious ones arising out of punctuality in payments, which make it reliable or not.


Administrative Data

  • C.C.I.A.A.  /   11668330159

  • R.E.A.  /  360227

  • Tax Code  /  11668330159

  • VAT  /  01180940999

  • Share Capital  /  € 81.600,00