The Problem We Were Brought In To Solve
$800M US auto parts distributor: 88% fill rate causing churn, $4.8M excess slow-moving inventory, manual demand planning.
How Revino Delivered
ML parts demand forecasting: vehicle parc data, weather-driven failure patterns, regional driving habits, promotional impact.
Measurable Business Impact
✓Fill rate: 88%→97%
✓Inventory cost: -$4.8M
✓Stockout revenue: $2.8M recovered
✓Forecast accuracy: 68%→91%
✓Customer retention: +12%
PythonLightGBMSnowflakeReactPostgreSQLAWS
KEY METRICS
97%
Fill rate
-$4.8M
Inventory cost
$2.8M
Revenue recovered
91%
Forecast accuracy
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