INTELLIGENT PLANNING AND AUDIT MANAGEMENT SYSTEM FOR FLEETS OF VEHICLES IN STOCK (Q3165617)

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Revision as of 17:13, 12 October 2021 by DG Regio (talk | contribs) (‎Created claim: summary (P836): Vehicle stock control audits are conducted in order to manage risk in car loans, providing peace of mind to both financial institutions and dealers. This is done through the physical verification of inventories of vehicles financed in stock credit policies by financial institutions._x000D_ TKS is confronted in this proposal with the development of an intelligent system of management and planning of audits of this nature, managing and evaluating...)
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Project Q3165617 in Spain
Language Label Description Also known as
English
INTELLIGENT PLANNING AND AUDIT MANAGEMENT SYSTEM FOR FLEETS OF VEHICLES IN STOCK
Project Q3165617 in Spain

    Statements

    country
    Spain
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    EU contribution
    202,768.8 Euro
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    budget
    253,461.0 Euro
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    co-financing rate
    80.0 percent
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    start time
    1 July 2016
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    end time
    30 April 2018
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    beneficiary name (string)
    TKSOLUCIONES DE TELEMARKETING SL
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    beneficiary
    Q3165616
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    coordinate location

    43°17'43.94"N, 5°41'2.29"W
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    postal code
    33031
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    summary
    Las auditorías de control de stock de vehículos se realizan con el fin de gestionar el riesgo en préstamos para automóviles, proporcionando tranquilidad tanto a las instituciones financieras como a los concesionarios. Ello se lleva a cabo a través de la verificación física de inventarios de vehículos financiados en pólizas de crédito stock por entidades financieras._x000D_ TKS se enfrenta en esta propuesta al desarrollo de un sistema inteligente integral de gestión y planificación de auditorías de esta naturaleza, manejando y evaluando las variables y aspectos relatados en el presente documento._x000D_ El sistema inteligente de planificación será una plataforma formada por módulos y agentes virtuales. En su conjunto formará el core de las mejoras que se proponen para la aplicación, destacando la IA de asignación de auditores y cálculo de rutas._x000D_ La IA se ejecutará como un proceso separado, comunicándose con la aplicación con los nuevos canales de comunicación, websockets o webservices. La ejecución se realizará en paralelo, comunicándose con esta mediante eventos y mensajes de forma asíncrona para no parar la aplicación durante los cálculos más complejos. _x000D_ El sistema contará con un algoritmo de selección de candidato para la planificación compuesto por varios algoritmos de ordenación y cálculo de rutas._x000D_ El sistema contará con un dataset con valores de aprendizaje para su mejora continua. Con este grupo de datos, el sistema será capaz de ordenar los auditores por su calificación, disponibilidad y las rotaciones que el cliente haya impuesto. Las modificaciones que se realicen desde administración pasarán a formar parte de este fichero de entrenamiento para que el sistema aprendizaje lo tenga en cuenta._x000D_ El sistema aprenderá en función de las correcciones que los administradores realicen. Ante un nuevo escenario el sistema modificará su elección basándose en lo aprendido. (Spanish)
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    Vehicle stock control audits are conducted in order to manage risk in car loans, providing peace of mind to both financial institutions and dealers. This is done through the physical verification of inventories of vehicles financed in stock credit policies by financial institutions._x000D_ TKS is confronted in this proposal with the development of an intelligent system of management and planning of audits of this nature, managing and evaluating the variables and aspects reported in this document._x000D_ The intelligent planning system will be a platform formed by virtual modules and agents. As a whole, it will form the core of the proposed improvements for the application, highlighting the AI of assigning auditors and calculating routes._x000D_ The AI will be executed as a separate process, communicating with the application with the new communication channels, websockets or webservices. The execution will be carried out in parallel, communicating with it through asynchronous events and messages so as not to stop the application during the most complex calculations. _x000D_ the system will have a candidate selection algorithm for planning composed of several sorting and routing algorithms._x000D_ The system will have a dataset with learning values for continuous improvement. With this data group, the system will be able to order auditors by their rating, availability and rotations that the customer has imposed. Changes made from administration will become part of this training file for the learning system to take into account._x000D_ The system will learn based on the corrections made by administrators. In the face of a new scenario, the system will modify its choice based on what has been learned. (English)
    point in time
    12 October 2021
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    location (string)
    Langreo
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    Identifiers

    Spanish Kohesio ID
    IDI-20160562
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