Supply Chain Intelligence

The Problem

• •A mid sized manufacturing company constantly firefighting supply chain issues—surprise stockouts, overstocked warehouses, and delayed shipments
• •Inventory was piling up, cash flow was tightening, and shortages still occurred because the team couldn’t see real demand shifts quickly enough
• •Relied on gut-feel ordering
• •Manual reporting cycles caused constant delays

The Solution

• •We built a predictive supply chain intelligence platform
• •AI forecasts demand 6 weeks ahead
• •Collected real-time data across ERP, manufacturing logs, distributor orders, and shipment records
• •Automated purchase order recommendations based on 7-, 14-, and 30-day forward demand
• •Executive dashboard visualizing bottlenecks, projected shortages, and capital wastage
• •Predictive forecasting model using historical demand, seasonality, promotional effects, and market signals
• •Inventory risk engine flagging SKUs at oversupply or stockout risk

The Outcomes

Technologies Used