Overstock reduced with smarter forecasting
Inventory decisions were being made with weak forecasting models and too much manual judgement — leading to costly overstock cycles.
Outcome: 31% reduction in overstock within 90 days.
- Pain point: Inaccurate demand planning and reactive stock decisions.
- What we built: A custom AI forecasting system integrated directly into planning workflows.
- Business impact: Better cash flow, reduced waste, and fewer stockout events.