Demand Sensing for New SKUs

Results are measurable. An eyewear brand using AI for six-month seasonal forecasts improved accuracy by thirteen percentage points. Food producer Atria achieved 98.1% weekly forecast accuracy and reduced manual changes by 13%, using AI to forecast short shelf-life goods.

AI-driven forecasting can reduce supply chain errors by 20-50% and lost sales and product unavailability by 65%, according to McKinsey. The consulting firm also says automated forecasting can cut workforce management tasks by 50%, saving 10–15% in costs while improving cross-functional collaboration and decision confidence.