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Malt Strategy
Salma L.SL

Salma L.

SCM Engineer | AI-Enhanced Risk Monitoring

€250/day
Toulouse, FR
3-7 years
Support opérationnel
coordination
Suivi des tâches
organisation
Reporting

Average response time: 1 hour

About Salma

Supply Chain Engineer with experience in complex industrial environments, specialized in supplier performance management, KPI analysis, and operational risk anticipation.

I support procurement, quality, and supply chain teams in:
•Monitoring and improving supplier KPIs (OTD, lead time, backlog, NCR, 8D follow-up)
•Detecting performance deterioration and systemic deviations
•Structuring root cause analysis and corrective action plans
•Leveraging SAP and Excel data to drive operational decisions

In addition, I design AI-driven decision-support tools that enhance supply chain visibility and reactivity. These tools enable:
•Automated detection of supplier risk patterns
•Trend analysis and early warning signals
•Executive-ready performance summaries
•Structured escalation and mitigation recommendations

My approach combines operational rigor, data-driven analysis, and digital process optimization to strengthen supplier reliability and supply chain resilience.
Aerospace
Automotive supplier

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Airbus
    Supply Chain consultant
    LOGISTICS AND SUPPLY CHAIN
    January 2023 - Today (3 years and 5 months)
    Toulouse, France
    • Ensure material availability and supplier performance alignment with production requirements across aerospace programs.

    •Lead operational risk anticipation by analyzing delivery deviations, shortages, and lead-time variability.

    •Drive supplier performance improvement through structured root cause analysis and corrective action follow-up.

    •Design and optimize data models and tracking dashboards to enhance supply chain visibility and KPI governance.

    •Leverage AI-driven tools and automation solutions to improve forecasting reliability, anomaly detection, and decision support.

    •Structure and standardize logistics and procurement datasets to enable predictive analytics and process optimization.

    •Collaborate cross-functionally (procurement, quality, operations) to strengthen end-to-end supply chain resilience.

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Education

  • Master's degree in Advanced Methods of Industrial Engineering
    Ecole Centrale de Lyon
    2022
    Master’s degree focused on Supply Chain, with a strong foundation in Data Science for industrial applications.

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