Enterprise AI/ML Analytics Platform for Supply Chain

  • Connects SAP Business Data Cloud (BDC), S/4HANA, IBP, Ariba and non-ERP data sources in a unified analytics layer.
  • Powered by Alteryx Server for real-time data transformation, blending, and ML model execution.
  • Delivers actionable insights through embedded Power BI dashboards accessible to business users.
  • Pre-built AI/ML models for supply chain use cases — deployable in days, not months.
  • Hosted on AWS with enterprise-grade scalability, security, and performance.
Deep Dive — Inventory Optimization Model
  1. Data Preparation

    Ingest inventory logs, product catalogs, historical sales, supplier data. Cleanse, standardize, and derive metrics like Days in Stock.

  2. Safety Stock & Reorder Point

    Avg Daily Sales = Monthly Forecast ÷ 30. Safety Stock and Reorder Point are calculated using demand and lead times.

  3. Historical Fallback

    Rolling historical averages ensure continuity when live data is unavailable.

  4. EOQ Calculation

    Economic Order Quantity minimizes ordering and holding costs.

  5. Demand Forecasting

    Spline Regression, ARIMA, and ETS models forecast inventory levels for proactive planning.

Enterprise AI/ML Analytics Platform