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Please use this identifier to cite or link to this item: http://dspace.esgen.edu.dz:8080/xmlui/handle/123456789/774
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dc.contributor.authorPresented by: LAKHZOUM, Farah-
dc.contributor.authorSupervisor: TABTI, Rafika-
dc.date.accessioned2025-11-04T13:57:25Z-
dc.date.available2025-11-04T13:57:25Z-
dc.date.issued2025-07-02-
dc.identifier.urihttp://dspace.esgen.edu.dz:8080/xmlui/handle/123456789/774-
dc.description226 pen_US
dc.description.abstractThis study addresses how artificial intelligence can enhance GIG Algeria’s motor insurance operations, from subscription to claims management, while optimizing efficiency and maintaining customer trust through a balanced integration of technology and human oversight with an in-depth study of GIG Algeria. It is based on a mixed methodological approach combining quantitative and qualitative studies along with process design. The results show that stakeholders demonstrate strong support for digital transformation and AI implementation across the entire motor insurance process. Customers exhibited significant acceptance and expressed a genuine need for AI-driven solutions to improve accessibility and speed. The findings highlight the development of a strategic framework that leverages technological innovation to streamline operations while ensuring customer-centricity and creating a robust foundation for this innovative project at GIG Algeria. The study demonstrates that digital transformation in motor insurance requires careful integration of automated processes while preserving essential human touchpoints to enhance customer experience and operational efficiency.en_US
dc.language.isoenen_US
dc.publisherHIGHER SCHOOL OF MANAGEMENT AND DIGITAL ECONOMYen_US
dc.subjectAIen_US
dc.subjectmotor insuranceen_US
dc.subjectsubscriptionen_US
dc.subjectclaims managementen_US
dc.subjectautomationen_US
dc.subjectdigital transformationen_US
dc.titleDigital Transformation Strategy for the Insurance of the Motor Branch Using Artificial Intelligence (AI)en_US
dc.title.alternativeCase Study: GIG Algeriaen_US
dc.typeThesisen_US
Appears in Collections:Management

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