Santa Cruz Bicycles is a high end bicycle manufacturer, based in Santa Cruz, California. Together with them, we tackled a common issue: the mismatch between requested bikes and what’s in stock. This can lead to delays and customer dissatisfaction. To address this, we’ve developed an allocation algorithm that suggests similar alternatives when a requested bike isn’t available. 

The strength of this algorithm lies in its real-time operation. Running daily, it ensures that proposed allocations are based on the latest inventory data. Additionally, the algorithm looks at multiple similarity criteria, and selects the closest alternative possible which is in stock. This practical approach streamlines order fulfillment and helps Santa Cruz Bicycles manage their inventory better. 

The allocation algorithm offers a pragmatic solution to inventory challenges. By linking customer requests with available stock, it enhances operational efficiency and customer satisfaction, showcasing Santa Cruz Bicycles dedication to improving efficiency in their operation.