E-commerce

Forecasting that stopped the $200K overstock leak

$15M e-commerce brand (anonymized)

Challenge

Inventory forecasting was manual and inaccurate. Overstocking seasonal items cost $200K+ a year. Stockouts lost 8–10% of potential revenue.

Solution

• • Analyzed three years of sales, seasonality, and market trends
• • Implemented an AI demand-planning model
• • Automated reorder triggers from predictions
• • Integrated supplier and inventory systems
• • Built live visibility dashboards

Results

• 89%

  Forecast accuracy

  was 62%

• −72%

  Overstock incidents

• −58%

  Stockout events

• $240K/yr

  Carrying-cost savings

Timeline: 12 weeks, including 6 weeks of model training

ROI: 4.1x within 9 months