case-studies

AI-based HR Assistant: optimizing recruiting with advanced algorithms

Home / Case Studies / AI-based HR Assistant: optimizing recruiting with advanced algorithms
On this page
    Year of implementation
    2019
    Industry
    Automotive

    Marelli, a global leader in the automotive sector, with a complex organization and structured HR processes for talent acquisition and manage

    Approach and methodology

    We developed an AI-based HR Assistant using advanced algorithms to analyze resumes and job descriptions. The ranking feature speeds up candidate selection, reducing time-to-hire by 30%. By automating key processes and optimizing resource allocation, the solution has also reduced overall recruiting costs by 70%.

    Staff involved in the project
    4 Specialists
    Execution time
    3 Months
    Technologies used
    • Organic ESB
    • Search Engine

    Get in touch with
    Abacus Group

    Contact us

    Related Case Studies

    case-studies
    Multimodal AI Agent for Vehicle Damage Assessment
    case-studies
    Project Minerva: Support Agent Assistance via Phone
    View all

    Contact Us

    Thank you for providing the required information below, marked with an asterisk (*). This will help us provide you with the best possible response.

      Abacus Group is committed to protecting your information. Your information will be used in accordance with the applicable data privacy law, our internal policies and our privacy policy. As Abacus is a global organisation, your information may be stored and processed by Abacus and its affiliates in countries outside your country of residence, but wherever your information is processed, we will handle it with the same care and respect for your privacy.