Real-Time Supply Chain Monitoring with Stream Processing

Supply chain monitoring requires tracking inventory levels, shipment status, and demand signals across thousands of SKUs and locations in real time. Batch reporting with daily refreshes misses critical events: stockouts, shipment delays, and demand spikes. Stream processing with RisingWave provides continuous visibility.

Supply Chain Streaming Views

-- Real-time inventory levels (CDC from warehouse DB)
CREATE MATERIALIZED VIEW inventory_status AS
SELECT warehouse_id, sku, current_quantity,
  reorder_point, current_quantity - reorder_point as buffer,
  CASE WHEN current_quantity <= reorder_point THEN 'REORDER'
       WHEN current_quantity <= 0 THEN 'STOCKOUT'
       ELSE 'OK' END as status
FROM inventory;

-- Demand velocity (from order stream)
CREATE MATERIALIZED VIEW demand_velocity AS
SELECT sku,
  COUNT(*) FILTER (WHERE order_time > NOW()-INTERVAL '1 hour') as orders_1h,
  COUNT(*) FILTER (WHERE order_time > NOW()-INTERVAL '24 hours') as orders_24h,
  SUM(quantity) FILTER (WHERE order_time > NOW()-INTERVAL '24 hours') as units_24h
FROM order_items GROUP BY sku;

-- Stockout risk alerts
CREATE MATERIALIZED VIEW stockout_alerts AS
SELECT i.sku, i.warehouse_id, i.buffer, d.orders_1h,
  i.buffer / NULLIF(d.orders_1h, 0) as hours_until_stockout
FROM inventory_status i JOIN demand_velocity d ON i.sku = d.sku
WHERE i.buffer < d.orders_1h * 4;

Frequently Asked Questions

Why real-time for supply chain?

A daily inventory report can't catch a demand spike that depletes stock in 2 hours. Real-time monitoring triggers reorder alerts immediately, preventing stockouts and lost revenue.

How do I connect ERP data?

Use CDC from your ERP's database (PostgreSQL/MySQL). RisingWave ingests changes in real time without impacting ERP performance.