SupplyChainAI – Demand Forecasting for CPG

Platforms

Prophet (Facebook), Databricks, SAP IBP, Snowflake, Streamlit (Dashboard), Selenium (Web Scraping)

Service

Time Series Modeling, External Data Integration, SAP IBP Sync, Dashboard, Alerting System

Project Timeline

6 Months (Data Pipeline → Model Training → SAP Integration → Pilot Category → Enterprise Rollout)

Increased in ROI revenue

→ 94% forecast accuracy (MAPE)
→ 40% reduction in overstock waste
→ 25% fewer stockouts
→ $2.3M saved annually in inventory costs

SupplyChainAI predicts product demand using:

  • Historical sales + seasonality.
  • Weather forecasts (e.g., heatwaves → more ice cream).
  • Social trends (TikTok viral products).
  • Competitor pricing (web-scraped daily).
    Forecasts generated weekly at SKU/store level. Flags “high variance” items for manual review. Integrates with SAP IBP for automatic purchase orders. Dashboard shows forecast vs. actuals + root cause analysis (“Demand dropped due to competitor promo”).

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