Purchasing Optimization with NEMO: Focus on Efficiency

    Revolutionize your purchasing processes using advanced technologies and strategies

    Key strategies of purchasing optimization with NEMO

    NEMO transforms the purchasing process using targeted optimization strategies that focus on the following key aspects:

    • Stock optimization: NEMO allows for precise stock management to reduce overstock and free up capital.
    • Complexity mining: By identifying complex patterns in purchasing data, NEMO helps uncover hidden cost-saving potential.
    • MRP parameters: The optimization of MRP parameters provides for efficient inventory management and order processes.
    • Purchasing performance: NEMO enhances purchasing efficiency by means of improved processes and decision-making.
    • Delivery performance and replenishment lead times: By analyzing and optimizing the delivery chains, you can minimize replenishment lead times and enhance delivery performance.
    • Consumption forecast: More accurate predictions of material consumption allow for better planning and cost savings.

    Manage your company based on data – our solutions at a glance

     

    NEMO Basic

    Start the discovery tour

    Data preparation and data exploration 

    • Ensure data transparency
    • Intuitive data browsing
    • Ad-hoc reporting
    • 24/7 data monitoring incl. custom rules
    • Continuous master files optimization 
    NEMO Advanced

    Unravel the treasure map

    descriptive- and diagnostic Analytics

    • Interactive dashboards for all company divisions
    • Visualize your business KPIs
    • Self-service analytics
    • Connect to advanced AI-based analytics regardless of tool or provider

     

    NEMO ERP-Template

    Your compass for the future

    Prescriptive- and predictive Analytics 

    • Leverage AI to identify patterns, trends and anomalies
    • Visualize and optimize processes transparently
    • Uncover disturbances in business processes
    • Secure decisions thanks to forecasts and derived recommendations for actions

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