Inventory Is a Balancing Act
Too much inventory ties up cash and risks obsolescence. Too little inventory causes stockouts, lost sales, and customer dissatisfaction. The right inventory level depends on demand patterns, lead times, seasonality, product lifecycle, and service level targets — and it varies by SKU and location. Most organizations manage this with rules of thumb that are wrong for large portions of their catalog.
Smart inventory AI brings data-driven inventory optimization to every SKU and location.
What the Service Does
- Demand-driven replenishment — Generate purchase orders and transfer orders based on forecasted demand, current stock, lead times, and target service levels. Orders are timed and sized correctly.
- Safety stock optimization — Set safety stock levels that reflect actual demand variability and lead time variability per SKU, not flat rules. Reduce safety stock where demand is predictable and increase it where it matters.
- Obsolescence prediction — Identify slow-moving and soon-to-be-obsolete inventory early so you can act — promotions, returns, reallocation — before the inventory becomes a write-off.
- Stockout prevention — Predict stockouts before they happen and recommend corrective actions: expedite orders, transfer stock, or adjust allocations.
- Intelligent allocation — Allocate inventory across locations to maximize service levels and minimize total inventory. Move stock toward where demand is expected, not where it currently sits.
- Inventory health analytics — Dashboards on turns, days of supply, stockout rates, excess inventory, and obsolescence by category, location, and supplier.
Expected Outcomes
Lower total inventory value at the same or better service level, fewer stockouts, reduced obsolescence, and less manual inventory planning effort.