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Demand Forecasting AI — US $4.2B FMCG Company

Forecast accuracy 68%→91% | Stockouts -28% | $8.4M inventory savings
16 weeks

The Problem We Were Brought In To Solve

US $4.2B FMCG: Excel-based models at 68% forecast accuracy, 8.4% stockout rate losing $12M revenue annually, $34M in excess inventory.

How Revino Delivered

ML demand forecasting: 180-day forward view incorporating POS data, weather, social trends, promotional calendars, economic indicators.

Measurable Business Impact

Forecast accuracy: 68%→91%
Stockouts: -28%
Inventory cost: -$8.4M
Markdown waste: -$3.2M
Retailer fill rate: 94%→98.4%
PythonProphetLightGBMSnowflakeTableauAWS
Retail & FMCG IndustryAI Automation & AnalyticsAI & ML Engineering
KEY METRICS
91%
Forecast accuracy
-28%
Stockouts
$8.4M
Inventory savings
98.4%
Fill rate
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