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    APPROACH

    • De-duplication of parts data using Sancus:
      • Identify parts with different names that are the same/similar in terms of description and usage
      • BoM intervention – by redesigning BoM to minimize parts (principles of concurrent engineering)
    • Data enrichment – using supplier/manufacturing/other databases to provide holistic information about items, thus enabling Spare parts consolidation/rationalization
    • Category wise Demand forecasting of spare parts
    • Prediction of Machine failures to optimize spare part inventory levels and minimize downtime
    • Integration with existing IT systems for seamless adoption

    KEY BENEFITS

    • Wholistic view of spare parts inventory from 41 plants across the globe, recorded in multiple languages
    • Enabled utilization of spares across plants

    RESULTS

    • Savings to the tune of $1.2 M in inventory costs

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