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Business challenge
A multi-location dealership group was holding aging inventory too long on some lots while running short on high-demand models at others.
Implementation
We built a demand forecasting model using historical sales data, regional search trends, and seasonal patterns to optimize allocation across locations and reduce days-on-lot for slow movers.
Reported outcomes
19%
Faster inventory turns
23%
Reduction in aged inventory