Rental unit utilization

Leveraged AI-driven analytics to optimize rental unitutilization, minimize operational costs, and enhance assetmanagement by predicting demand and improving fleet

The challenge

A leading distribution company faced inefficiencies in rental unit utilization due to fragmented asset management and limited real-time tracking. The company was unable to optimize rental fleet usage across multiple facilities, resulting in increased costs and underutilized assets.

The solution

Implemented an AI-based solution using Azure Fabric and Databricks to ingest real-time data from warehouses, forecasting rental unit demand and utilization. We developed custom analytics to predict asset requirements, automated scheduling, and provided insights for decision-making.

Measured impact

25%

reduction in rental costs,

20%

Improvement in asset deployment efficiency,

15%

Reduction operational downtime