SARCI Insights for SCM Analytics is a set of statistical algorithms that are used to find meaningful patterns and knowledge in order, shipment and transactional and sensor data.

Typically, as a first step and based on available data, a business model is created in consultation with people working in the target area. The algorithms are then run on reliable historical data and fine-tuned further for exceptions.

Depending on data reliability, tremendous improvement in multiple aspects can be obtained in by enabling data-driven decisions at strategic, operational and tactical levels. It encompasses virtually the complete value chain: sourcing, manufacturing, distribution, logistics and finance.


  • Choice of different methods, FIFO, Wt.Avg
  • Built-in Statistical Models
  • What-If analysis
  • Splicing & Data Visualization
  • Data Validation & Cleansing
  • Comparison with Historical data
  • Exception & Variance Analysis

Use Case

  • Demand Forecasting
  • Pricing Trends
  • Holding Cost of Inventory
  • Purchase Schedule & Lot-Size
  • Freight Schedule
  • Production Planning
  • Procurement Strategy

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