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    Streamlining Contractor Productivity Tracking

    Client Overview

    Archer Daniels Midland (ADM) is a global leader in food processing and commodities, operating across multiple sites worldwide. With a focus on operational efficiency, ADM sought to improve its contractor productivity tracking process to drive better decision-making and streamline reporting.

    The Challenge

    ADM faced significant challenges in tracking contractor productivity across its sites:

    1. Manual Reporting: Site managers relied on Excel spreadsheets to manually log contractors’ activities.
    2. Fragmented Processes: With multiple sites and large teams, data consolidation was a time-consuming weekly process.
    3. Delayed Insights: The manual nature of data manipulation caused delays in generating Power BI reports, which were crucial for improving site productivity.

    ADM needed a unified solution that would enable real-time data collection and reporting to address these inefficiencies.

    The Solution

    Logisam designed and delivered a Power Apps mobile application tailored to ADM’s specific needs:

    • Simplified Data Collection:
      Site managers could quickly log contractor activities using pre-defined categories directly on their mobile devices.

    • Centralized Data Storage:
      All data was stored in a secure SharePoint backend, ensuring consistency and accessibility across sites.

    • Real-Time Insights:
      The SharePoint backend was integrated with Power BI, providing dynamic, real-time dashboards and reports. This eliminated the need for manual data manipulation and weekly delays.

    The Impact

    • Improved Efficiency: Site managers saved hours each week by eliminating manual spreadsheet workflows.
    • Enhanced Productivity Insights: Real-time reports provided actionable data to drive productivity improvements.
    • Scalability: The solution seamlessly accommodated multiple sites and large teams.

    Results

    ADM now benefits from a streamlined contractor productivity tracking process that supports data-driven decision-making and fosters continuous operational improvements.

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