The problem
The company was sitting on $300K in excess inventory. Cash was locked up in slow-moving SKUs while bestsellers went out of stock. Manual purchasing decisions led to overbuying on trends and underbuying on staples.
All case studies
CASE STUDY — Inventory Intelligence System
Inventory Revolution
Cut excess inventory by 67% while doubling revenue — using AI-powered demand forecasting and automated purchasing decisions.
● THE RECEIPTS
$300K → $100K
Excess inventory
2x
Revenue growth
108%
Year-over-year growth
-60%
Stockout reduction
The move
Built an inventory intelligence system that integrates sales velocity data, seasonal patterns, and supplier lead times. AI models forecast demand at the SKU level, automatically generating purchase orders optimized for cash flow. Integrated with Inventory Planner and custom analytics for a complete demand planning pipeline.
What we shipped.
05 / DELIVERED
- SKU-level demand forecasting using historical sales data and seasonal patterns
- Automated purchase order generation optimized for cash flow and lead times
- Integration with Inventory Planner for supply chain visibility
- ABC classification system for prioritizing high-value inventory management
- Real-time dashboards tracking inventory health metrics
— THE TIME IS NOW
Want results
like these?
We turn ambition into AI advantage — in weeks, not years. A few seats. The ones that move get them.