AI Supply Chain Optimizer

Spreadsheet-based ordering misses demand spikes entirely. By the time someone notices a trend, it's already too late to adjust inventory. Stockouts cost $50K+ per incident in lost sales and customer dissatisfaction.

On the flip side, overstocked items tie up capital and eat margins through carrying costs. Without predictive intelligence, operations teams are stuck in a constant cycle of reacting to shortages and overcompensating with excess.

85% reduction in stockout losses — demand spikes are predicted before they hit, giving your team time to adjust orders proactively.

Carrying costs drop by 20% through optimized reorder points and quantities that match actual demand patterns rather than gut feelings.

Forecast accuracy reaches 91%, giving you confidence that your inventory decisions are grounded in data, not guesswork.

Vector integrates with your ERP and warehouse management systems to create a real-time inventory visibility layer across all locations and SKUs. Historical sales data, seasonality, and market signals feed into demand forecasting models.

The optimization engine continuously calculates optimal reorder points, safety stock levels, and order quantities for every SKU — accounting for lead times, supplier reliability, and demand variability.

When anomalies are detected — sudden demand shifts, supplier delays, or inventory discrepancies — the system alerts your team with specific recommendations, turning reactive firefighting into proactive inventory management.