AI-Powered Inventory Forecasting

The Challenge

Quartex was managing three warehouses with Excel-based inventory tracking. Demand patterns shifted seasonally, but reorder decisions were based on gut feel. The result: constant stockouts on fast-moving items and capital tied up in overstocked slow movers. They needed a system that could learn from their data.

The Solution

We built a forecasting engine that ingests historical sales, seasonal trends, and supplier lead times to predict demand at the SKU level. The dashboard alerts warehouse managers before stockouts happen and recommends optimal reorder quantities — turning reactive inventory management into a proactive system.

• ML-based demand forecasting with seasonal adjustment
• Automated reorder alerts with confidence scoring
• Multi-warehouse inventory visibility dashboard
• Supplier lead time tracking and optimization
• Integration with existing WMS and ERP systems