Difference between revisions of "IN-RACS"
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| − | <td>Netroda Technologies | + | <td>Netroda Technologies<br>Insitiute for Research in Technical Analytics (INRITA) |
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Revision as of 02:53, 16 October 2023
| iN-RACS | |
|---|---|
|
| |
| Developer | Netroda Technologies Insitiute for Research in Technical Analytics (INRITA) |
| Type | Software Interface |
| Products |
|
| Initial Release | 2022 (2017 as ADPP) |
| Platform | Extensible Services / Server for Business |
General
IN-RACS (INCORP-Risk Assesment on Customer Services) is a integrated module of NT-INCORP that enables heuristic recognition of suspected negative customers before order award.
Based on a limited set of information, IN-RACS can accurately predict a willingness to commit award fraud, or failure to accept received invoices. The Algorithm has been tuned with scientifically proven data of behavioural analysis in diverse social groups.
Theory of operation
Generally, the iN-RACS database contains options for a customer, these options are linked to specific factors, including general lawfullness, probabilities of committing of a crime, gender- and age specific behaviours, presumed overall intelligence, and more.
Fields
| Name | Purpose |
|---|---|
| Profession | Describes the customers profession (Alma mater, Job Status and Position) |
| Gender | Describes the customers prominent biological gender |
| Age | The customers age in years |
