How a $50M distributor cut forecast error from 31% to 14%

NovaTech Distribution, a $50M consumer electronics distributor, relied on spreadsheet-based demand planning across 12 product categories and 200+ SKUs. Their demand planning team of three spent most of their time manually adjusting forecasts that were consistently 25-35% off actual demand — leading to chronic stockouts on fast-movers and excess inventory on slow-movers.

Experidium deployed a Demand Forecasting Agent trained on three years of NovaTech's sales history, combined with external signals including promotional calendars, competitor pricing data, and macroeconomic indicators. The agent generates weekly demand forecasts at the SKU-location level and automatically triggers replenishment orders when inventory hits dynamically calculated reorder points.

Within the first six weeks, forecast MAPE (Mean Absolute Percentage Error) dropped from 31% to 14%. Stockout incidents fell by 60%, while excess inventory carrying costs decreased by $180K annually. Two of the three demand planners were reassigned to higher-value strategic sourcing work. The forecasting agent now runs autonomously, retraining monthly on fresh data and alerting the operations team only when anomalies exceed confidence thresholds.

NovaTech has since expanded to Experidium's Procurement Automation Agent and is evaluating the full stack deployment for Q1 2027.